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Electroencephalograph (EEG) Based Emotion Recognition System: A Review

  • Kalyani P. Wagh
  • K. VasanthEmail author
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 33)

Abstract

Brain–computer interfacing is recent technology through which we can communicate with the outside world using the brain signals. This technology plays an important role in the biomedical field. BCI can be used to identify various human emotions. These emotions play an important role in human psychology. Recognition of emotion is subject of interest for both psychologists and engineers. Many researchers are doing a lot of work in the same field. The objective of this paper is to present study of various stages involved in electroencephalography (EEG) signal analysis for human emotion detection. The review gives an explanation of each method like EEG signal acquisition, signal preprocessing, feature extraction, and signal classification.

Keywords

Emotion detection Electroencephalography Signal preprocessing Feature extraction Classification 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Sathyabama UniversityChennaiIndia

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