Human Stress Classification Using Cardiovascular and Respiratory Data Based on Machine Learning Techniques

This study demonstrates the efficacy of multimodal physiological data integration for accurate stress detection, outperforming single-modality approaches and comparable studies in the literature. The findings highlight the potential of real-time monitoring systems in enhancing stress and health management.