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Feature Extraction and Classification in Brain-Computer Interfacing: Future Research Issues and Challenges

  • Debashis Das Chakladar
  • Sanjay Chakraborty
Chapter
Part of the Unsupervised and Semi-Supervised Learning book series (UNSESUL)

Abstract

Brain-computer interfacing (BCI) is a communication bridge between human brain and computer. BCI system consisted of four sections (signal acquisition, signal processing, feature extraction and classifications, application Interface). In this survey paper, we try to elaborate the entire structure of BCI process especially emphasizing on feature extraction and classification area. We have briefly described different types of brain signals and their properties. For the stationary type of signal, we have used autoregressor and Fourier transform, and for nonstationary signal, we have used wavelet transformation as feature extraction policy. There have been various techniques introduced for EEG signal classification in the literature from low-cost methods (LDA, logistic regression, KNN) to computationally expensive techniques (SVM, artificial neural networks). We have also discussed ensemble and complex classifiers. In this paper, we have explained the basic concepts of all the classifiers and describe their key properties and applications. We have thoroughly analyzed all possible types of comparisons between classifiers using statistical plotting (bar chart, line chart) so that future researchers can identify the suitable classifier for a specific task. Finally, this paper deals with the various open challenges and future research issues with respect to feature extraction and classification in BCI system.

Notes

Acknowledgements

No research funding has been received for this survey work.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Debashis Das Chakladar
    • 1
  • Sanjay Chakraborty
    • 2
  1. 1.Computer Science and Engineering DepartmentInstitute of Engineering and ManagementKolkataIndia
  2. 2.Department of Information TechnologyTechno IndiaKolkataIndia

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