A Brain-Robot Interface by BCI based on Repeated Binary CSP

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, due to the low information transfer rate and low recognition accuracy in Brain-Computer Interface (BCI), a four-class motor imagery Brain-Robot Interface based on Repeated Binary Common Spatial Pattern (RB-CSP) and Support Vector Machine (SVM) is proposed. The control strategy is offline training first, online control next-After users finish learning to control their thinking, the system makes pattern recognition on the collected users' EEG signals and finally translates them into commands to control the movement of the robot. Experiments indicate that the system is able to extract users' EEG signal features quickly and correctly, translate them into robot's control instructions, which can be used to make real-Time control on robots effectively.

Original languageEnglish
Title of host publicationProceedings - 2015 Chinese Automation Congress, CAC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages826-830
Number of pages5
ISBN (Electronic)9781467371896
DOIs
Publication statusPublished - 13 Jan 2016
EventChinese Automation Congress, CAC 2015 - Wuhan, China
Duration: 27 Nov 201529 Nov 2015

Publication series

NameProceedings - 2015 Chinese Automation Congress, CAC 2015

Conference

ConferenceChinese Automation Congress, CAC 2015
Country/TerritoryChina
CityWuhan
Period27/11/1529/11/15

Keywords

  • Brain-Robot
  • EEG
  • Repeated Binary Common Spatial Pattern (RB-CSP)
  • SVM

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Yan, C., Zheng, S., & Wang, X. (2016). A Brain-Robot Interface by BCI based on Repeated Binary CSP. In Proceedings - 2015 Chinese Automation Congress, CAC 2015 (pp. 826-830). Article 7382612 (Proceedings - 2015 Chinese Automation Congress, CAC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAC.2015.7382612