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Initial Study of Emotion Recognition Using Brain Rhythm Sequencing Method
Li, Jia Wen1,2,3; Barma, Shovan4; Pun, Sio Hang1,2; Vai, Mang I.1,2,3; Wang, Pan Ke1,2,3; Liu, Xin1,2,3; Yu, Yuan Yu1,2,5; Wang, Jiu Jiang1,2,5; Zhang, Shuang5; Mak, Peng Un3
2021
Conference Name11th Asian-Pacific Conference on Medical and Biological Engineering (APCMBE2020)
Source PublicationIFMBE Proceedings
Volume82
Pages231-239
Conference Date2021-9
Conference PlaceJapan
Abstract

A method named brain rhythm sequencing has been proposed to interpret Electroencephalography (EEG) signal for emotion recognition. For this purpose, first, the reassigned smoothed pseudo Wigner-Ville distribution (RSPWVD) has been adopted. Then, all generated sequences have been evaluated for classifying the emotional states based on arousal and valence. Moreover, the classification was by similarity measurements between pairwise of the sequences. After evaluating the accuracies by using the sequences from different channels and time durations, on one hand, the significant channel for classification has been identified so that the recognition can be accomplished by considering single-channel. On the other hand, the particular duration which was valuable for classification has been found so that the size of required data can be reduced. Thus, emotion recognition can be performed by fewer data resource. Results revealed that the accuracy of ~70% has been realized and hence, the proposed method could open a new way to implement data analysis for EEG-based applications such as emotion recognition.

KeywordBrian Rhythm Sequencing Electroencephalography (Eeg) Emotion Recognition Sequence Classification
DOI10.1007/978-3-030-66169-4_29
URLView the original
Language英語English
Scopus ID2-s2.0-85104880306
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorMak, Peng Un
Affiliation1.Institute of Microelectronics, University of Macau, Macao
2.State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macao
3.Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macao
4.Department of Electronics and Communication Engineering, Indian Institute of Information Technology Guwahati (IIITG), Guwahati, India
5.College of Computer Science and AI, Neijiang Normal University, Neijiang, China
First Author AffilicationUniversity of Macau;  Faculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Li, Jia Wen,Barma, Shovan,Pun, Sio Hang,et al. Initial Study of Emotion Recognition Using Brain Rhythm Sequencing Method[C],2021:231-239.
APA Li, Jia Wen,Barma, Shovan,Pun, Sio Hang,Vai, Mang I.,Wang, Pan Ke,Liu, Xin,Yu, Yuan Yu,Wang, Jiu Jiang,Zhang, Shuang,&Mak, Peng Un.(2021).Initial Study of Emotion Recognition Using Brain Rhythm Sequencing Method.IFMBE Proceedings,82,231-239.
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