Exploring Deep Learning Features for Automatic Classification of Human Emotion Using EEG Rhythms
Download
Download
Download
Full text for this resource is not available from the Research Repository.
Export
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
Dimensions Badge
Altmetric Badge
| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/43146 |
| DOI | 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 | 37 - View on Scopus |
| Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)