<b>Real-Road Driving Experiments</b>Data extracted for all participants

This research focuses on forecasting driver fatigue by utilizing physiological indicators and exploring the connection between these indicators and driver fatigue. To achieve this, real-world driving experiments were carried out with 16 participants, employing non-intrusive techniques to gather physiological data such as electrodermal activity, heart rate, and skin temperature. Neural Networks were then used to predict fatigue levels.本研究旨在利用生理指标开展驾驶员疲劳预测，并探究此类生理指标与驾驶员疲劳之间的内在关联。为实现该研究目标，研究团队招募16名参与者开展真实驾驶实验，采用非侵入式技术采集皮肤电活动（electrodermal activity）、心率（heart rate）与皮肤温度（skin temperature）等生理数据。后续通过神经网络（Neural Networks）模型对驾驶员疲劳等级进行预测。