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A Survey on Feature Extraction Methods for EEG Based Emotion Recognition

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Intelligent Techniques and Applications in Science and Technology (ICIMSAT 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 12))

Abstract

In recent times, emotion recognition is in attention in brain computer interface (BCI) and human computer interaction (HCI) research area to provide a very good communication between brain and computer. The aim is to achieve a good recognition rate, although there are numerous researches have been conducted also there has been created several confusions with the definition of human emotions and the difference between emotions and moods. To detect brain signal, Electroencephalogram (EEG) signal has become biological marker. For its low cost, good time and spatial resolution EEG has been used widely in BCI researches. Extraction of features from EEG signals is one of the vital steps of EEG based emotion recognition. The appropriate feature selection for EEG based automatic emotion recognition is still now a big research topic. In this paper, a comprehensive survey is made on feature extraction methods and their comparative merits and limitations.

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Acknowledgment

We would like to thank TEQIP III, NIT Silchar for all the support for carrying out the presented review paper work.

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Authors and Affiliations

  1. Department of Electrical Engineering, NIT Silchar, Silchar, Assam, India

    Souvik Phadikar & Nidul Sinha

  2. Department of Information Technology, Gauhati University, Gauhati, Assam, India

    Rajdeep Ghosh

Authors
  1. Souvik Phadikar
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  2. Nidul Sinha
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  3. Rajdeep Ghosh
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Corresponding author

Correspondence to Souvik Phadikar .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Siliguri Institute of Technology, Sukna, West Bengal, India

    Subhojit Dawn

  2. Department of Automation and Applied Informatics, Aurel Vlaicu University of Arad, Arad, Arad, Romania

    Valentina Emilia Balas

  3. Department of Psychology and IIASS, Università della Campania “Luigi Vanvitelli”, Caserta, Caserta, Italy

    Anna Esposito

  4. Mizoram University, Aizawl, Mizoram, India

    Sadhan Gope

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Phadikar, S., Sinha, N., Ghosh, R. (2020). A Survey on Feature Extraction Methods for EEG Based Emotion Recognition. In: Dawn, S., Balas, V., Esposito, A., Gope, S. (eds) Intelligent Techniques and Applications in Science and Technology. ICIMSAT 2019. Learning and Analytics in Intelligent Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42363-6_5

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