Exploring Deep Learning Features for Automatic Classification of Human Emotion Using EEG Rhythms

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Demir, F ORCID: 0000-0003-3210-3664, Sobahi, N ORCID: 0000-0001-5788-5629, Siuly, Siuly ORCID: 0000-0003-2491-0546 and Sengur, A ORCID: 0000-0003-1614-2639 (2021) Exploring Deep Learning Features for Automatic Classification of Human Emotion Using EEG Rhythms. IEEE Sensors Journal, 21 (13). pp. 14923-14930. ISSN 1530-437X

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/43146
DOI https://doi.org/10.1109/JSEN.2021.3070373
Official URL https://ieeexplore.ieee.org/document/9393369
Subjects Current > FOR (2020) Classification > 4008 Electrical engineering
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords electroencephalogram; emotion recognition; feature extraction; convolutional neural networks; support vector machine; continuous wavelet transform
Citations in Scopus 13 - View on Scopus
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