Control of a wheelchair by motor imagery in real time

Kyuwan Choi, Andrzej Cichocki

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

78 Citations (Scopus)

Abstract

This paper gives an outline of a non-invasive brain machine interface (BMI) implemented for controlling a motorized wheelchair online. Subjects were trained by using an effective feedback training method, and they could then control the wheelchair freely, similar to controlling it with a joystick.

Original languageEnglish
Title of host publicationIntelligent Data Engineering and Automated Learning - IDEAL 2008 - 9th International Conference, Proceedings
Pages330-337
Number of pages8
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event9th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2008 - Daejeon, Korea, Republic of
Duration: 2 Nov 20085 Nov 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5326 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2008
Country/TerritoryKorea, Republic of
CityDaejeon
Period2/11/085/11/08

Keywords

  • BMI
  • EEG
  • Feedback training
  • Wheelchair

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