Measuring Human Emotions Using Computer Vision Through Thermal Imaging

This research delves into the intricate relationship between emotions and mental health, acknowledging the profound impact of emotional states on critical aspects such as task-solving ability, concentration, judgment, behavior, and overall daily functioning. Leveraging three distinct approaches to the study of emotions-self-reporting, analysis of nonverbal cues, and physiological assessments-seeking to provide a comprehensive understanding of the complex interplay of emotions in human experiences. Emotion recognition traditionally relies on tracking facial and bodily cues, but the concealment of true emotions remains a challenge for individuals adept at masking their feelings. To address this limitation, our study proposes a novel approach using thermal imaging, capitalizing on the inherent physiological changes in humans during emotional experiences. This research will use VGG16 and EfficientNet to analyze human emotions through thermal image, video, and camera.