instruction
stringclasses 45
values | integer
sequencelengths 168
1.03k
| output
dict |
|---|---|---|
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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] | {
"1. Frame Length": "The total frame length is: 525.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 396.",
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 296.",
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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"3. Local Minima": null
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 400.",
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 342.",
"2. Local Maxima": null,
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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] | {
"1. Frame Length": "The total frame length is: 1033.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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] | {
"1. Frame Length": null,
"2. Local Maxima": {
"frames": [
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],
[
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],
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
912,
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],
[
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],
[
962,
986
],
[
1029,
1032
]
]
},
"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 475.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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"1. Frame Length": null,
"2. Local Maxima": {
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263,
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},
"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 364.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 442.",
"2. Local Maxima": null,
"3. Local Minima": null
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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"2. Local Maxima": {
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314,
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"3. Local Minima": null
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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"1. Frame Length": null,
"2. Local Maxima": null,
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[
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[
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[
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[
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]
}
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 503.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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"1. Frame Length": null,
"2. Local Maxima": {
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[
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[
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],
[
277,
278
],
[
282,
283
],
[
289,
291
]
]
},
"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 884.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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"1. Frame Length": null,
"2. Local Maxima": {
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[
438,
438
],
[
441,
441
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[
443,
443
]
]
},
"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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"1. Frame Length": null,
"2. Local Maxima": null,
"3. Local Minima": {
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[
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[
445,
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[
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]
]
}
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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] | {
"1. Frame Length": "The total frame length is: 423.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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"1. Frame Length": null,
"2. Local Maxima": {
"frames": [
[
153,
175
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[
285,
313
]
]
},
"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 469.",
"2. Local Maxima": null,
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} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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"2. Local Maxima": {
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356,
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"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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[
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[
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[
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}
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 586.",
"2. Local Maxima": null,
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} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 399.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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},
"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 401.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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[
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[
325,
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[
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},
"3. Local Minima": null
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 338.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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"2. Local Maxima": {
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214,
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} |
Extremity speed represents the speed of movement of the end joints of the limbs (both wrists, ankles). Near the maximum value, the faster the speed of the extremities, near the minimum value, the less movement of the extremities.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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[
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[
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[
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[
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]
}
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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] | {
"1. Frame Length": "The total frame length is: 525.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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"1. Frame Length": null,
"2. Local Maxima": {
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[
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[
244,
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[
430,
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],
[
438,
441
],
[
443,
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],
[
446,
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]
]
},
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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] | {
"1. Frame Length": null,
"2. Local Maxima": null,
"3. Local Minima": {
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0,
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[
45,
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],
[
64,
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[
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[
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[
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[
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],
[
472,
473
],
[
475,
482
],
[
484,
485
],
[
523,
524
]
]
}
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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7,
9,
7
] | {
"1. Frame Length": "The total frame length is: 396.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 296.",
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} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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},
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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] | {
"1. Frame Length": "The total frame length is: 400.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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] | {
"1. Frame Length": null,
"2. Local Maxima": {
"frames": [
[
156,
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]
]
},
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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"1. Frame Length": null,
"2. Local Maxima": null,
"3. Local Minima": {
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[
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],
[
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],
[
218,
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],
[
271,
399
]
]
}
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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] | {
"1. Frame Length": "The total frame length is: 513.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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[
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},
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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"1. Frame Length": null,
"2. Local Maxima": null,
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} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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] | {
"1. Frame Length": "The total frame length is: 342.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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"1. Frame Length": null,
"2. Local Maxima": {
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[
216,
218
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[
220,
220
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[
312,
341
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]
},
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 168.",
"2. Local Maxima": null,
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Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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},
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 432.",
"2. Local Maxima": null,
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Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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[
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[
323,
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},
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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14,
13,
13,
14,
13,
12,
12,
12,
12,
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11,
11,
12,
12,
13,
13,
13,
14,
15,
15,
14,
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16,
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18,
18,
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17,
17,
15,
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12,
12,
11,
10,
9,
8,
8,
6,
5,
5,
5,
4,
3,
3,
3,
3,
3,
2,
2,
4,
5,
4,
3,
3,
4,
4,
4,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
3,
2,
2,
2,
1,
0,
1,
2,
1,
1,
1,
0,
0,
1,
1,
1
] | {
"1. Frame Length": null,
"2. Local Maxima": null,
"3. Local Minima": {
"frames": [
[
42,
44
],
[
113,
114
],
[
178,
179
],
[
313,
313
],
[
389,
397
],
[
399,
431
]
]
}
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
3,
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3,
3,
4,
3,
4,
4,
4,
3,
4,
3,
3,
4,
4
] | {
"1. Frame Length": "The total frame length is: 1033.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
3,
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3,
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] | {
"1. Frame Length": null,
"2. Local Maxima": {
"frames": [
[
636,
638
],
[
643,
665
],
[
667,
679
],
[
796,
796
],
[
801,
803
],
[
806,
841
]
]
},
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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] | {
"1. Frame Length": null,
"2. Local Maxima": null,
"3. Local Minima": {
"frames": [
[
131,
131
],
[
135,
135
],
[
388,
388
],
[
401,
401
],
[
404,
405
],
[
587,
587
],
[
707,
707
],
[
710,
751
],
[
757,
757
]
]
}
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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] | {
"1. Frame Length": "The total frame length is: 475.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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"1. Frame Length": null,
"2. Local Maxima": {
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[
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],
[
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],
[
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],
[
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],
[
411,
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],
[
413,
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]
]
},
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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"1. Frame Length": null,
"2. Local Maxima": null,
"3. Local Minima": {
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],
[
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],
[
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374
],
[
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380
],
[
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384
]
]
}
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 364.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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"1. Frame Length": null,
"2. Local Maxima": {
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[
225,
244
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[
246,
259
],
[
263,
263
]
]
},
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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"1. Frame Length": "The total frame length is: 442.",
"2. Local Maxima": null,
"3. Local Minima": null
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Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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"2. Local Maxima": {
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Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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}
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Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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] | {
"1. Frame Length": "The total frame length is: 503.",
"2. Local Maxima": null,
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local maxima, we identify the ranges where the values reach a peak within the dataset. A local maximum is a point where the value is higher than its neighboring values. This indicates periods of high activity or dynamic movement. The detection is based on a threshold percentage (e.g., 80% of the maximum value) to focus on the most significant peaks. The output lists the frame ranges where these peaks occur and their respective values. | [
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"1. Frame Length": null,
"2. Local Maxima": {
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[
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[
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]
]
},
"3. Local Minima": null
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To find the local minima, we identify the ranges where the values reach a low point within the dataset. A local minimum is a point where the value is lower than its neighboring values. This indicates periods of less activity or reduced movement. The detection is based on a threshold percentage (e.g., 20% above the minimum value) to focus on the most significant dips. The output lists the frame ranges where these dips occur and their respective values. | [
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"1. Frame Length": null,
"2. Local Maxima": null,
"3. Local Minima": {
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[
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]
]
}
} |
Left arm extremity angular velocity represents the angular velocity value of left arm. Near the maximum value, the larger the angular velocity value of left arm, indicating fast rotation, near the minimum value, the slower the rotation.
To calculate the frame length, count the total number of frames in the dataset. Each frame represents a data point collected over time. The total frame length gives the duration of the motion or activity being analyzed. In this dataset, the total frame length is determined by the number of entries in the data array. | [
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