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Emotion Recognition Based on EEG Brain Rhythm Sequencing Technique
Jia Wen Li; Shovan Barma; Sio Hang Pun; Mang I Vai; Peng Un Mak
2022-02
Source PublicationIEEE Transactions on Cognitive and Developmental Systems
PagesEarly Access
Abstract

This work proposes a technique that analyzes electroencephalography (EEG) using brain rhythms (δ, θ, α, β, and γ) presented in a sequential format and applies it for emotion recognition. Although brain rhythms are regarded as reliable parameters in EEG-based emotion recognition, to achieve high accuracy by considering fewer optimal multi-channel rhythmic features (MCRFs) has not been addressed in detail. Thus, the rhythm sequence for each channel is generated by choosing the strongest brain rhythm having the maximum instantaneous power for every 200 ms time bin. A k-nearest neighbor (k-NN) classifier is employed for evaluating the rhythmic features extracted from different sequences, and the experimental validation was performed on three well-known emotional databases (DEAP, MAHNOB, and SEED). The results showed that approximately 30% of MCRFs for as high as 87%-92%, achieving high classification accuracies with a small number of data. Further investigation revealed that the Frontal and Parietal regions are active during the emotional process, as consistent as earlier studies. Therefore, the proposed technique demonstrates its availability and reliability for emotion recognition. It also provides a novel solution to find optimal channel-specific rhythmic features in EEG signal analysis.

KeywordElectroencephalography (Eeg) Brain Rhythm Sequencing (Brs) Reassigned Smoothed Pseudo Wigner-ville Distribution (Rspwvd) Multi-channel Rhythmic Features (Mcrfs) Emotion Recognition.
URLView the original
Indexed BySCIE
Language英語English
Fulltext Access
Document TypeJournal article
CollectionFaculty of Science and Technology
Affiliation1.Guangdong Polytechnic Normal University
2.Indian Institute of Information Technology Guwahati
3.University of Macau
4.University of Macau
5.University of Macau
Recommended Citation
GB/T 7714
Jia Wen Li,Shovan Barma,Sio Hang Pun,et al. Emotion Recognition Based on EEG Brain Rhythm Sequencing Technique[J]. IEEE Transactions on Cognitive and Developmental Systems,2022:Early Access.
APA Jia Wen Li,Shovan Barma,Sio Hang Pun,Mang I Vai,&Peng Un Mak.(2022).Emotion Recognition Based on EEG Brain Rhythm Sequencing Technique.IEEE Transactions on Cognitive and Developmental Systems,Early Access.
MLA Jia Wen Li,et al."Emotion Recognition Based on EEG Brain Rhythm Sequencing Technique".IEEE Transactions on Cognitive and Developmental Systems (2022):Early Access.
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