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