A Real-Time Human Stress Monitoring System Using Dynamic Bayesian Network

We present a real time non-invasive system that infers user stress level from evidences of different modalities. The evidences include physical appearance (facial expression, eye movements, and head movements) extracted from video via visual sensors, physiological conditions collected from an emotional mouse, behavioral data from user interaction activities with the computer, and performance measures. We provide a Dynamic Bayesian Network (DBN)...