Design and Application of Emotion Analysis System Based on EEG Technology
[Purposes]This study aims to design and apply an emotion analysis system based on Electroen-cephalography(EEG)technology to accurately identify user emotional states.The system provides a pre-cise and reliable tool for the field of emotional analysis.[Methods]The system relies on advanced signal processing techniques and machine learning algorithms to monitor and analyze the correlation between EEG signals and specific emotional states,achieving real-time monitoring and classification of emotions.Key components include a data acquisition module responsible for collecting EEG signals,a signal pro-cessing module for cleaning and feature extraction,and an emotion recognition module using classifica-tion algorithms to determine user emotional states.[Findings]The system can accurately identify user emotional states and achieve real-time monitoring and classification.Each functional module operates stably,and the overall performance meets expectations.[Conclusions]The emotion analysis system based on EEG technology shows promising results and applications in experiments.Its precise emotion recognition capability provides significant support for medical health,user experience optimization,and beyond.Future research can further optimize the system's performance and expand its applications in broader fields,such as psychological health assistance diagnosis.
万方数据
维普
