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Multi-Channel EEG Based Emotion Recognition Using Temporal Convolutional Network and Broad Learning System
Jia,Xue1; Zhang,Tong1; Philip Chen,C. L.1; Liu,Zhulin1; Chen,Long2; Wen,Guihua1; Hu,Bin3
2020-12
Conference Name2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Source PublicationIEEE Transactions on Systems, Man, and Cybernetics: Systems
Pages2452-2457
Conference Date11-14 Oct. 2020
Conference PlaceToronto, ON, Canada
Abstract

Automatic real-time emotion recognition based on multi-channel EEG signals is a significant and challenging task in neurology and psychiatry. In recent years, deep learning has been used in EEG emotion recognition. However, many existing deep learning based methods still require complex pre-processing or additional feature extraction, which make it difficult to achieve real-time emotion recognition. In this paper, an end-to-end model named Temporal Convolutional Broad Learning System (TCBLS) was designed for multi-channel EEG based emotion recognition. The TCBLS takes one-dimensional EEG signals as input, then extracts emotion-related features of EEG automatically. In this model, the Temporal Convolutional Network (TCN) is designed to extract EEG temporal features and deep abstract features simultaneously, then Broad Learning System (BLS) is used to map the features to a more discriminative space and further enhance the features. We evaluated our method on DEAP database, performing 10-fold cross-validation on each subject to obtain the classification accuracy. Experimental results indicate that the performance of TCBLS is better than other comparison methods, and the mean accuracy of TCBLS is 99.5755% and 99.5781% on valence and arousal classification task respectively. The results demonstrate the effectiveness and robustness of TCBLS in EEG emotion recognition.

KeywordEeg Emotion Recognition Temporal Convolutional Network (Tcn) Broad Learning System (Bls) Temporal Convolutional Broad Learning System (Tcbls)
DOI10.1109/SMC42975.2020.9283159
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Cybernetics ; Computer Science, Information Systems
WOS IDWOS:000687430602075
Scopus ID2-s2.0-85098866346
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.South China University of Technology
2.University of Macau
3.Lanzhou University
Recommended Citation
GB/T 7714
Jia,Xue,Zhang,Tong,Philip Chen,C. L.,et al. Multi-Channel EEG Based Emotion Recognition Using Temporal Convolutional Network and Broad Learning System[C],2020:2452-2457.
APA Jia,Xue,Zhang,Tong,Philip Chen,C. L.,Liu,Zhulin,Chen,Long,Wen,Guihua,&Hu,Bin.(2020).Multi-Channel EEG Based Emotion Recognition Using Temporal Convolutional Network and Broad Learning System.IEEE Transactions on Systems, Man, and Cybernetics: Systems,2452-2457.
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