Stress Detection Using Wearable Physiological and Sociometric Sensors

ArXi:2604.12746v1 Announce Type: new Stress remains a significant social problem for individuals in modern societies. This paper presents a machine learning approach for the automatic detection of stress of people in a social situation by combining two sensor systems that capture physiological and social responses. We compare the performance using different classifiers including vector machine, AdaBoost, and k-nearest neighbor.