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Identification of Emotion Using Electroencephalogram by Tunable Q-Factor Wavelet Transform and Binary Gray Wolf Optimization.

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第一作者： Siyu,Li

第一单位： School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China.;Brain Cognition and Brain-Computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming, China.

作者： Siyu,Li ^[1] ; Xiaotong,Lyu ^[1] ; Lei,Zhao ^[2] ; Zhuangfei,Chen ^[3] ; Anmin,Gong ^[4] ; Yunfa,Fu ^[5]

作者单位： School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China.;Brain Cognition and Brain-Computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming, China. ^[1] Brain Cognition and Brain-Computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming, China.;Faculty of Science, Kunming University of Science and Technology, Kunming, China. ^[2] Brain Cognition and Brain-Computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming, China.;School of Medicine, Center for Brain Science and Visual Cognition, Kunming University of Science and Technology, Kunming, China. ^[3] College of Information Engineering, Engineering University of PAP, Xi'an, China. ^[4] School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China.;Brain Cognition and Brain-Computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming, China.;School of Medicine, Center for Brain Science and Visual Cognition, Kunming University of Science and Technology, Kunming, China.;Computer Technology Application Key Lab of Yunnan Province, Kunming University of Science and Technology, Kunming, China. ^[5]

关键词 EEG binary gray wolf optimization algorithm emotion recognition emotional brain-computer interface tunable-Q wavelet transform

DOI 10.3389/fncom.2021.732763

PMID 34566614

发布时间 2021-09-29

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