Design of wearable brain computer interface based on motor imagery

Chuan Lung Lin, Tso Yao Chu, Pei Jung Wu, Chen An Wang, Bor-Shyh Lin

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

Abstract

Brain computer interface (BCI) is a communication system to establish a communication interface between the brain and the device. Motor imagery-based brain computer interface is one of asynchronous BCIs, and have been widely developed in recent years. However, most of motor imagery-based BCI require bulk EEG machines, and lots of EEG data have to be transmitted to the back-end computer for analysis. This also causes the limitation of daily applications. In this study, a wearable motor-imagery-based BCI system with the least number of EEG channels was developed. In this system, the wearable mechanical design and the wireless EEG acquisition module were designed for measuring real time EEG in daily life. The modified BCI algorithm was also developed, and here only three channels are used to distinguish different events of motor imagery in this study. Finally, the proposed BCI system was also validated by the hand-motor imagery experiment.

Original languageEnglish
Title of host publicationProceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014
EditorsJunzo Watada, Akinori Ito, Chien-Ming Chen, Jeng-Shyang Pan, Han-Chieh Chao
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages33-36
Number of pages4
ISBN (Electronic)9781479953905
DOIs
StatePublished - 24 Dec 2014
Event10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014 - Kitakyushu, Japan
Duration: 27 Aug 201429 Aug 2014

Publication series

NameProceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014

Conference

Conference10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014
CountryJapan
CityKitakyushu
Period27/08/1429/08/14

Keywords

  • brain computer interface
  • Electroencephalogram
  • motor imagery
  • wearable mechanical design
  • wireless EEG acquisition module

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