Autonomic Emotion Signature: A Novel Stress Measurement Framework Assisting Human Behavioural Pattern Analysis
摘要
Due to the ever-increasing time-bound challenges and complexities in day-to-day human lives in the present times, chronic stress-related disorders have become all-pervasive across almost all age groups around the world. However, stress disorders are significantly more frequent among the youth, mainly owing to catalytic career changes, challenges, and expectations. Hence, the necessity of effective stress management tools has become pivotal as an integral practice for the mental and physical well-being of the human race. In this work, we investigate the correlation between emotional co-ordinates and cardiac functions of human beings under induced stress conditions, to develop a novel stress measurement framework based on remote Photoplethysmograph (rPPG) extracted RR-interval characteristics. We perform our experiment on students of a technical institute, aged in the range of 18–25 years, who were assigned tasks at five different levels of difficulty following the Trier Social Stress Test (TSST), for robustness of investigation. Our results indicate the importance of personalized interventions that foster positive emotional engagement for better cardiac and emotional health.