Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- other
|
| 4 |
+
- sensor
|
| 5 |
+
---
|
| 6 |
+
Part of MONSTER: <https://arxiv.org/abs/2502.15122>.
|
| 7 |
+
|
| 8 |
+
***FordChallenge*** is obtained from Kaggle and consists of data from 600 real-time driving sessions, each lasting approximately 2 minutes and sampled at 100ms intervals [1]. These sessions include trials from 100 drivers of varying ages and genders. The dataset contains 8 physiological, 11 environmental, and 11 vehicular measurements, with specific details such as names and units undisclosed by the challenge organizers. Each data point is labeled with a binary outcome: 0 for "distracted" and 1 for "alert". The objective of the challenge is to design a classifier capable of accurately predicting driver alertness using the provided physiological, environmental, and vehicular data.
|
| 9 |
+
|
| 10 |
+
[1] Mahmoud Abou-Nasr. (2011). Stay Alert! The Ford Challenge. <https://kaggle.com/competitions/stayalert>. Kaggle.
|