Optimal partial filters of EEG signals for shared control of vehicle

Won Gil Huh, Sung Bae Cho

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

2 Citations (Scopus)

Abstract

The development of equipment that measures EEG signals leads to the research that applies them to many domains. There are active research going on EEG signals for shared vehicle control system between human and car. An appropriate filtering method is also important because EEG signals normally have lots of noises. To reduce such noises, full matrix filter, sparse matrix reference filter, and common average reference (CAR) filter are presented and analyzed in this paper. In order to develop shared vehicle control system, we use controller, brain-computer interface (BCI), EEG signals, and car simulator program. By executing t-test, it was possible to find the optimal filter out of three filters mentioned above. With the analysis of t-test, it has revealed that full matrix filter is not appropriate for shared vehicle control system. In addition, it proves CAR filter has the best performance among these filters.

Original languageEnglish
Title of host publicationProceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015
EditorsMario Koppen, Azah Kamilah Muda, Kun Ma, Bing Xue, Hideyuki Takagi, Ajith Abraham
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages290-293
Number of pages4
ISBN (Electronic)9781467393607
DOIs
Publication statusPublished - 2016 Jun 15
Event7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015 - Fukuoka, Japan
Duration: 2015 Nov 132015 Nov 15

Publication series

NameProceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015

Other

Other7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015
CountryJapan
CityFukuoka
Period15/11/1315/11/15

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All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Control and Optimization
  • Modelling and Simulation

Cite this

Huh, W. G., & Cho, S. B. (2016). Optimal partial filters of EEG signals for shared control of vehicle. In M. Koppen, A. K. Muda, K. Ma, B. Xue, H. Takagi, & A. Abraham (Eds.), Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015 (pp. 290-293). [7492823] (Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SOCPAR.2015.7492823