中圖分類號： TP391.7 文獻(xiàn)標(biāo)識碼： A DOI：10.16157/j.issn.0258-7998.211721 中文引用格式： 蔡靖，周云鵬,，程曉宇,，等. 基于EEMD和LeNet-5的腦電信號情緒識別[J].電子技術(shù)應(yīng)用，2022,，48(5)：98-103. 英文引用格式： Cai Jing,，Zhou Yunpeng，Cheng Xiaoyu,，et al. Emotion recognition of EEG based on EEMD and LeNet-5[J]. Application of Electronic Technique,，2022，48(5)：98-103.
Emotion recognition of EEG based on EEMD and LeNet-5
Cai Jing,，Zhou Yunpeng,，Cheng Xiaoyu，Xin Jiawen,，Sun Huihui
College of Instrumentation & Electrical Engineering,，Jilin University，Changchun 130061,，China
Abstract： With the progress of science and technology, people have a new understanding of the concept of emotion, from the past that emotion comes from "heart" gradually developed to the current general belief that emotion comes from "brain". In view of the many characteristics of EEG signals, this experiment firstly extracted the useful bands of EEG signals through filtering, then used EEMD algorithm to extract the characteristics of EEG signals and used the characteristics to draw EEG topographic map by spatial interpolation method,，and then used LeNet-5 algorithm to carry out specific emotional analysis and establish a model. Finally, through continuous improvement of the model, the accuracy of emotion recognition was significantly improved, and accuracy is 80.1%.
