多模态压力预测的混合深度时间架构

Stress is a major health concern that motivates reliable and objective monitoring using multimodal physiological and behavioral information. This study presents a hybrid framework for continuous stress regression integrating facial video, Blood Volume Pulse (BVP), and Electrodermal Activity (EDA) with Principal Component Analysis (PCA), Bidirectional Long Short-Term Memory (BiLSTM), Elephant Herding Optimization (EHO), and Extreme Gradient Boosting (XGBoost). The UBFC-Phys cohort comprised 56 subjects; 45 subjects formed the development cohort and 11 fixed subjects were reserved for independen