Real-Road Driving ExperimentsData 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.