| 注册
首页|期刊导航|中国医疗设备|脑电情绪识别研究现状及展望

脑电情绪识别研究现状及展望

王海旭

中国医疗设备2024,Vol.39Issue(1):161-165,5.
中国医疗设备2024,Vol.39Issue(1):161-165,5.DOI:10.3969/j.issn.1674-1633.2024.01.028

脑电情绪识别研究现状及展望

Research of Current Status and Future Outlook of EEG Emotion Recognition

王海旭1

作者信息

  • 1. 四川信息职业技术学院 智能控制学院,四川 广元 628000
  • 折叠

摘要

Abstract

The research on electroencephalography(EEG)is continuously making progress.In the field of emotion recognition,it involves steps such as EEG signal acquisition,data preprocessing,time-frequency feature extraction,the construction of brain network features,and classification recognition.This paper reviewed the current status of EEG feature calculation methods,steps and methods of EEG emotion recognition and summarizes their application and future development.EEG emotion recognition shows great potential in applications such as psychological health assessment,emotion perception computing,and human-computer interaction.With the progress of machine learning and artificial intelligence,as well as the improvement of EEG signal processing,it is expected to further enhance the accuracy and reliability of EEG-based emotion recognition.In this paper,the calculation method of EEG emotion recognition features,the steps of emotion recognition,and the specific cases of clinical application are described,and the future direction is projected,which has positive significance for researchers to systematically understand EEG emotion recognition.

关键词

脑电/情绪识别/特征提取/脑机接口/人机交互

Key words

electroencephalography/emotion recognition/feature extraction/brain-machine interface/human-computer interaction

分类

生物工程

引用本文复制引用

王海旭..脑电情绪识别研究现状及展望[J].中国医疗设备,2024,39(1):161-165,5.

基金项目

广元市级人工智能研究中心课题(2021KB02). (2021KB02)

中国医疗设备

OACSTPCD

1674-1633

访问量0
|
下载量0
段落导航相关论文