EEG emotion recognition using reduced channel wavelet entropy and average wavelet coefficient features with normal Mutual Information method

@article{Candra2017EEGER,
  title={EEG emotion recognition using reduced channel wavelet entropy and average wavelet coefficient features with normal Mutual Information method},
  author={Henry Candra and Mitchell Yuwono and Rifai Chai and Hung T. Nguyen and Steven W. Su},
  journal={2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year={2017},
  pages={463-466}
}
Recognizing emotion from EEG signals is a complicated task that requires complex features and a substantial number of EEG channels. Simple algorithms to analyse the feature and reduce the EEG channel number will give an indispensable advantages. Therefore, this study explores a combination of wavelet entropy and average wavelet coefficient (WEAVE) as a… CONTINUE READING