An emotion recognition system and method based on a wearable bracelet

Abstract

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.

Description

technical field [0001] The invention relates to the field of wearable devices, in particular to an emotion recognition system and method based on a wearable bracelet. Background technique [0002] In recent years, mobile Internet technology has achieved rapid development, and wearable devices have played a very important role in people's lives, and have gradually become more popular products in consumer electronics. It helps people develop a healthy lifestyle and plan their work and life more reasonably. Wearable electronic devices are favored by consumers and developers for their advantages of easy portability, accurate measurement, and strong expansion capabilities. In today's society, people are facing increasing work and life pressure. Long-term pressure has a serious impact on people's emotions. Negative emotions can easily lead to depression, heart disease, high blood pressure, endocrine disorders and other health problems. Therefore, early detection of potential emo...

AI Technical Summary

Problems solved by technology

Even now there are watches that measure ECG signals, but they are only limited to obtaining the original signals at the wrist, and there is no timely identification and feedback for the wearer's emotional changes.

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