WEARABLE BRACELET-BASED EMOTION RECOGNITION SYSTEM AND METHOD

摘要

A wearable bracelet-based emotion recognition system and method. The system comprises a physiological signal acquisition module, a physiological signal preprocessing module, a physiological signal feature extraction module, an emotion classification module, and a comprehensive evaluation module. The physiological signal acquisition module acquires three types of physiological data of a wearer: ECG, heart rate, and galvanic skin response. The physiological signal preprocessing module performs data segmentation on the three types of physiological data, and denoises the data and then transmits the data to the physiological signal feature extraction module. The physiological signal feature extraction module performs feature extraction on the three types of physiological data respectively. The emotion classification module performs emotion recognition on the three types of physiological data and outputs three emotional states. The comprehensive evaluation module uses a weight-based voting decision rule to vote on the three emotional states to comprehensively determine a current emotional state label of the wearable bracelet wearer to obtain a recognition result. The wearable bracelet-based emotion recognition system and method can improve a wearer's ability to recognize and manage their own emotions and so achieve a healthier mental state.