EEG based emotion recognition using SVM and PSO

@article{Nivedha2017EEGBE,
  title={EEG based emotion recognition using SVM and PSO},
  author={R. Nivedha and Mary Brinda and Devika Vasanth and M Anvitha and Kantipudi Suma},
  journal={2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT)},
  year={2017},
  pages={1597-1600}
}
Machine learning has fueled real breakthroughs in affective computing in making the machines more emphatic to the user. This emotion recognition capability of machines enables them to act according to the observed mental state. Human feelings and emotions are triggered by stimuli which are external or internal and manifest themselves in the form of pulse rate, tone, facial expressions and many more. In this paper we classify human emotions using EEG signals into four discrete states, namely… CONTINUE READING
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