EEG based emotion monitoring using wavelet and learning vector quantization
Emotional identification is necessary for example in Brain Computer Interface (BCI) application and when emotional therapy and medical rehabilitation take place. Some emotional states can be characterized in the frequency of EEG signal, such excited, relax and sad. The signal extracted in certain fr...
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Published in | 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) pp. 1 - 6 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.09.2017
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Subjects | |
Online Access | Get full text |
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