摘要
情绪是综合了人的感觉、思想和行为的一种状态,在人与人的交流中发挥着重要作用。情绪识别是通过获取人的生理或非生理信号对人的情绪状态进行自动辨别,以实现更加友好和自然的人-机交互。基于脑电的识别方法是一种常用且有效的情绪识别方式。文中从脑电获取及预处理、特征提取和特征选择、情绪模式的学习和分类等几个方面,介绍了基于脑电的情绪识别的研究进展、应用前景以及目前存在的主要问题。
Emotion is a state that comprehensively represents human feeling, thought and behavior, thus takes an important role in inter-personal human communication. Emotion recognition aims to automatically discriminate different emotional states by using physiological and non-physiological signals acquired from people in order to develop friendly and natural human-machine interface. EEG-based emotion recognition is one of the most common used and efficient methods for emotion recognition. This paper introduced the state-of-the-art techniques, the read-world applications and some critical problems of EEG-based emotion recognition, from the aspects of EEG signals recording, signal preprocessing, feature extraction, feature selection and classification methods.
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
2012年第4期595-606,共12页
Chinese Journal of Biomedical Engineering
基金
国家自然科学基金(90820018)
国家重点基础研究发展(973)计划(2009CB320901)
关键词
情绪
情绪识别
脑电
特征提取
机器学习
emotion
emotion recognition
EEG
feature extraction
machine learning
作者简介
通信作者。E—mail：bllu@sjtu．edu．cn
