Design and Evaluation of a P300-ERP based BCI System for Real-Time Control of a Mobile Robot

Damir Nurseitov, Abzal Serekov, Almas Shintemirov, Berdakh Abibullaev

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

5 Citations (Scopus)

Abstract

With the development of Brain-Computer Interface (BCI) systems people with motor disabilities are able to control external devices using their thoughts. To control a device through BCI, brain activities of the user must be accurately translated to meaningful commands and a design of appropiate BCI paradigms play important roles in such tasks. This work presents a design and evaluation of a BCI system that is based on P300 Event- Related Potentials (ERP) in order to control a mobile robot platform into four directions (left, right, front, back). The ultimate goal of this research is to provide convienient way of controlling a mobile robot as an assistive home technology for disabled people. Low cost EPOC Emotiv headset was used in the BCI system to acquire brain signals with a Jaguar 4x4 Wheel robot as a control platform. We discuss a set of signal processing steps employed in detail and the utility of a regularized logistic regression classifier to detect visual stimuli induced P300 ERPs and, to control the Jaguar robot.

Original languageEnglish
Title of host publication5th International Winter Conference on Brain-Computer Interface, BCI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages115-120
Number of pages6
ISBN (Electronic)9781509050963
DOIs
Publication statusPublished - Feb 16 2017
Event5th International Winter Conference on Brain-Computer Interface, BCI 2017 - Gangwon Province, Korea, Republic of
Duration: Jan 9 2017Jan 11 2017

Other

Other5th International Winter Conference on Brain-Computer Interface, BCI 2017
CountryKorea, Republic of
CityGangwon Province
Period1/9/171/11/17

Fingerprint

Brain computer interface
Real time control
Mobile robots
Brain
Robots
Enterprise resource planning
Logistics
Wheels
Signal processing
Classifiers
Costs

ASJC Scopus subject areas

  • Signal Processing
  • Human-Computer Interaction

Cite this

Nurseitov, D., Serekov, A., Shintemirov, A., & Abibullaev, B. (2017). Design and Evaluation of a P300-ERP based BCI System for Real-Time Control of a Mobile Robot. In 5th International Winter Conference on Brain-Computer Interface, BCI 2017 (pp. 115-120). [7858177] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2017.7858177

Design and Evaluation of a P300-ERP based BCI System for Real-Time Control of a Mobile Robot. / Nurseitov, Damir; Serekov, Abzal; Shintemirov, Almas; Abibullaev, Berdakh.

5th International Winter Conference on Brain-Computer Interface, BCI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 115-120 7858177.

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

Nurseitov, D, Serekov, A, Shintemirov, A & Abibullaev, B 2017, Design and Evaluation of a P300-ERP based BCI System for Real-Time Control of a Mobile Robot. in 5th International Winter Conference on Brain-Computer Interface, BCI 2017., 7858177, Institute of Electrical and Electronics Engineers Inc., pp. 115-120, 5th International Winter Conference on Brain-Computer Interface, BCI 2017, Gangwon Province, Korea, Republic of, 1/9/17. https://doi.org/10.1109/IWW-BCI.2017.7858177
Nurseitov D, Serekov A, Shintemirov A, Abibullaev B. Design and Evaluation of a P300-ERP based BCI System for Real-Time Control of a Mobile Robot. In 5th International Winter Conference on Brain-Computer Interface, BCI 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 115-120. 7858177 https://doi.org/10.1109/IWW-BCI.2017.7858177
Nurseitov, Damir ; Serekov, Abzal ; Shintemirov, Almas ; Abibullaev, Berdakh. / Design and Evaluation of a P300-ERP based BCI System for Real-Time Control of a Mobile Robot. 5th International Winter Conference on Brain-Computer Interface, BCI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 115-120
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