Corpus ID: 212544568

International Journal of Latest Research in Engineering and Technology

@inproceedings{Manohari2016InternationalJO,
  title={International Journal of Latest Research in Engineering and Technology},
  author={N. Manohari and D. Rani and A. Kumar},
  year={2016}
}
  • N. Manohari, D. Rani, A. Kumar
  • Published 2016
  • Emotions are an essential part of the human mental and physical state. Hence it is vital to understand it especially in the case of individuals who cannot express it verbally. Similarly prolonged feeling of negative emotions may lead to stress which can further lead to a number of mental health issues. With the increasing number of people undergoing stress it is vital to be able to detect it at an early stage and help people realize and rectify it before much damage is done. In this paper, a… CONTINUE READING

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    References

    SHOWING 1-10 OF 14 REFERENCES
    EEG based stress level identification
    • G. Jun, K. Smitha
    • Computer Science, Engineering
    • 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
    • 2016
    • 37
    Human emotion recognition and analysis in response to audio music using brain signals
    • 77
    Emotion detection from EEG recordings
    • Jingxin Liu, H. Meng, A. Nandi, M. Li
    • Computer Science
    • 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
    • 2016
    • 31
    Emotional brain-computer interfaces
    • 69
    • PDF
    Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers
    • 179
    • PDF
    Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks
    • Wei-Long Zheng, B. Lu
    • Psychology, Computer Science
    • IEEE Transactions on Autonomous Mental Development
    • 2015
    • 380
    • PDF
    Detection of stress/anxiety state from EEG features during video watching
    • 22
    • PDF