EmpathicSchool: A multimodal dataset for real-time facial expressions and physiological data analysis under different stress conditions

EmpathicSchool is a novel dataset that captures facial expressions and the associated physiological signals, such as heart rate, electrodermal activity, and skin temperature, under different stress levels. The data was collected from 20 participants at different sessions for 26 hours. The data includes 7 different signal types, including both computer vision and physiological features that can be used to detect stress. In addition, various experiments were conducted to validate the signal quality.