Emotion recognition from multichannel EEG signals using K-nearest neighbor classification

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
Mi LiShengfu Lu

Abstract

Many studies have been done on the emotion recognition based on multi-channel electroencephalogram (EEG) signals. This paper explores the influence of the emotion recognition accuracy of EEG signals in different frequency bands and different number of channels. We classified the emotional states in the valence and arousal dimensions using different combinations of EEG channels. Firstly, DEAP default preprocessed data were normalized. Next, EEG signals were divided into four frequency bands using discrete wavelet transform, and entropy and energy were calculated as features of K-nearest neighbor Classifier. The classification accuracies of the 10, 14, 18 and 32 EEG channels based on the Gamma frequency band were 89.54%, 92.28%, 93.72% and 95.70% in the valence dimension and 89.81%, 92.24%, 93.69% and 95.69% in the arousal dimension. As the number of channels increases, the classification accuracy of emotional states also increases, the classification accuracy of the gamma frequency band is greater than that of the beta frequency band followed by the alpha and theta frequency bands. This paper provided better frequency bands and channels reference for emotion recognition based on EEG.

References

Jun 1, 1992·Journal of Personality and Social Psychology·R W LevensonW V Friesen
Feb 7, 2007·Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society·Chung LeeByungchae Lee
Aug 15, 2012·Trends in Cognitive Sciences·Stephan Hamann
Feb 21, 2014·Nature Reviews. Neuroscience·Stefan Koelsch

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Citations

May 16, 2019·Sensors·Hao ChaoBaoyun Lu
Jun 28, 2019·Frontiers in Neurorobotics·Xiaofen XingXiangmin Xu
Apr 9, 2020·Frontiers in Human Neuroscience·Kai YangYing Zeng
Jan 22, 2019·Technology and Health Care : Official Journal of the European Society for Engineering and Medicine·Dahua LiChuhan Wang
Jan 5, 2021·Frontiers in Human Neuroscience·Qinghua ZhongHan Zhang
Apr 7, 2021·Biomedizinische Technik. Biomedical Engineering·Bahar Hatipoglu Yilmaz, Cemal Kose
May 25, 2021·Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine·Sara HoushmandHamed Salmanzadeh
Aug 14, 2021·Computers in Biology and Medicine·Md Mustafizur RahmanMohammad Ali Moni

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Methods Mentioned

BETA
feature extraction

Software Mentioned

MATLAB

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