Feature selection of motor imagery EEG signals using firefly temporal difference Q-learning and support vector machine

Saugat Bhattacharyya, Pratyusha Rakshit, Amit Konar, D. N. Tibarewala, Ramadoss Janarthanan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Electroencephalograph (EEG) based Brain-computer Inter- face (BCI) research provides a non-muscular communication to drive assistive devices using movement related signals, generated from the motor activation areas of the brain. The dimensions of the feature vector play an important role in BCI research, which not only increases the computational time but also reduces the accuracy of the classifiers. In this paper, we aim to reduce the redundant features of a feature vector obtained from motor imagery EEG signals to improve their corresponding classification. In this paper we have proposed a feature selection method based on Firefly Algorithm and Temporal Difference Q-Learning. Here, we have applied our proposed method to the wavelet transform features of a standard BCI competition dataset. Support Vector Machines have been employed to determine the fitness function of the proposed method and obtain the resultant classification accuracy. We have shown that the accuracy of the reduced feature are considerably higher than the original features. This paper also demonstrates the superiority of the new method to its competitor algorithms.

Original languageEnglish
Title of host publicationSwarm, Evolutionary, and Memetic Computing - 4th International Conference, SEMCCO 2013, Proceedings
Pages534-545
Number of pages12
EditionPART 2
DOIs
Publication statusPublished - 1 Dec 2013
Event4th International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2013 - Chennai, India
Duration: 19 Dec 201321 Dec 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8298 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2013
CountryIndia
CityChennai
Period19/12/1321/12/13

Keywords

  • Brain-Computer Interfacing
  • Electroencephalography
  • Firefly Algorithm
  • Support Vector Machines
  • Temporal Difference Q-Learning
  • Wavelet Transforms

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  • Cite this

    Bhattacharyya, S., Rakshit, P., Konar, A., Tibarewala, D. N., & Janarthanan, R. (2013). Feature selection of motor imagery EEG signals using firefly temporal difference Q-learning and support vector machine. In Swarm, Evolutionary, and Memetic Computing - 4th International Conference, SEMCCO 2013, Proceedings (PART 2 ed., pp. 534-545). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8298 LNCS, No. PART 2). https://doi.org/10.1007/978-3-319-03756-1_48