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International Conference on ISMAC in Computational Vision and Bio-Engineering

ISMAC 2018: Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) pp 235–242Cite as

An Efficient Classifier for P300 in Brain–Computer Interface Based on Scalar Products

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Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 30))

Abstract

In this paper, a simple but efficient method for detection of P300 waveform in a Brain–Computer Interface (BCI) is presented. The proposed method is based on computing scalar products between the waveforms to be classified and a P300 pattern. Depending on the degree of concentration of the subject and the number of trails, rates of recognition between 85 and 100% have been obtained.

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Acknowledgements

We want to thank all human subjects who have voluntarily participated in experiment and Ulrich Hoffmann and his team for permission to use the EEG data available on the Internet.

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Authors and Affiliations

  1. Institute of Computer Science, Romanian Academy, Iasi, Romania

    Monica Fira

  2. “Gheorghe Asachi” Technical University of Iasi, Iasi, Romania

    Liviu Goras

Authors
  1. Monica Fira
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  2. Liviu Goras
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Corresponding author

Correspondence to Monica Fira .

Editor information

Editors and Affiliations

  1. SCAD Institute of Technology, Palladam, India

    Durai Pandian

  2. Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada

    Xavier Fernando

  3. School of Computer and Security Science, Edith Cowan University, Joondalup, WA, Australia

    Zubair Baig

  4. Wenzhou Medical University, Wenzhou, China

    Fuqian Shi

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Fira, M., Goras, L. (2019). An Efficient Classifier for P300 in Brain–Computer Interface Based on Scalar Products. In: Pandian, D., Fernando, X., Baig, Z., Shi, F. (eds) Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). ISMAC 2018. Lecture Notes in Computational Vision and Biomechanics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-00665-5_24

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  • DOI: https://doi.org/10.1007/978-3-030-00665-5_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00664-8

  • Online ISBN: 978-3-030-00665-5

  • eBook Packages: EngineeringEngineering (R0)

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