Multi-Target Positive Emotion Recognition From EEG Signals
Autor: | Yulin Zhang, Guozhen Zhao, Yong-Jin Liu, Dan Zhang, Guanhua Zhang |
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Rok vydání: | 2023 |
Předmět: |
medicine.diagnostic_test
Computer science business.industry 05 social sciences Feature extraction Linear model Pattern recognition Regression analysis Electroencephalography 050105 experimental psychology Regression Human-Computer Interaction 03 medical and health sciences 0302 clinical medicine Ranking Task analysis medicine 0501 psychology and cognitive sciences Artificial intelligence business 030217 neurology & neurosurgery Software Rank correlation |
Zdroj: | IEEE Transactions on Affective Computing. 14:370-381 |
ISSN: | 2371-9850 |
Popis: | Compared with the widely studied negative emotions in which different classes are easy to distinguish, nowadays less attention is paid to the recognition of positive emotions that are not fully independent. In this paper, we propose to recognize multiple positive emotions by analyzing brain activities and explore the neural representation of different positive emotions. Thirty-seven participants volunteered to participate in our study, in which their brain activities were recorded when watching five selected film clips. First, 150 well-known power features extracted from Electroencephalography (EEG) signals and 105 multimedia content analysis features were collected as the pool of candidate features. Second, based on the collected features, we propose to use a linear model and a nonlinear model to predict the percentage of five positive emotions. Then, percentage values were converted to ranking numbers and Kendall rank correlation coefficients were calculated. Our results showed that (1) ensemble of regressor chains using LSTM as unit regressor obtained both the best regression results and the best Kendall rank correlation coefficient on EEG features merely, and (2) top features from alpha frequency bands of EEG signals could represent different positive emotions. These results demonstrate the effectiveness of selective EEG features on recognizing different positive emotions. |
Databáze: | OpenAIRE |
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