Rhythm Vision: Applying Audio-Visual Isomorphism to Map Anxiety Emotions in College Students

Abstract

This paper introduces a wearable device named Rhythm Vision designed to assist college students in accurately mapping and identifying emotions during work. To ensure the emotional mapping accuracy of Rhythm Vision, we employed the MAX3012 heart rate and blood oxygen detection sensor for physiological information collection. An audio-visual isomorphic interactive system was designed using MaxMSP software. Rhythm Vision defines emotions as calm, relaxed, excited, and anxious for feedback. Participant experiments were conducted with Rhythm Vision, and the results indicate a high level of acceptance among college students when wearing Rhythm Vision during work, providing beneficial support for emotional well-being.