monster-monash/FordChallenge

FordChallenge数据集来自Kaggle，包含600个实时驾驶会话，每个会话约2分钟，采样频率为10Hz。数据集由36,257个长度为40的时间序列组成，每个时间序列代表4秒的数据。数据包含100名不同年龄和性别司机的8个生理学测量、11个环境测量和11个车辆测量。每个数据点标记为0（分心）或1（警觉），目的是设计一个分类器来预测司机的警觉性。

The FordChallenge dataset, sourced from Kaggle, consists of 600 real-time driving sessions, each about 2 minutes long, sampled at a frequency of 10Hz. The dataset is made up of 36,257 time series of length 40, each representing 4 seconds of data. It includes 8 physiological, 11 environmental, and 11 vehicular measurements from 100 drivers of varying ages and genders. Each data point is labeled as 0 (distracted) or 1 (alert), with the aim of designing a classifier to predict driver alertness.