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Wearable and Wireless Brain-Computer Interface and Its Applications

  • Chin-Teng Lin
  • Li-Wei Ko
  • Che-Jui Chang
  • Yu-Te Wang
  • Chia-Hsin Chung
  • Fu-Shu Yang
  • Jeng-Ren Duann
  • Tzyy-Ping Jung
  • Jin-Chern Chiou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5638)

Abstract

This study extends our previous work on mobile & wireless EEG acquisition to a truly wearable and wireless human-machine interface, NCTU Brain-Computer-Interface-headband (BCI-headband), featuring: (1) dry Micro-Electro-Mechanical System (MEMS) EEG electrodes with 400 ganged contacts for acquiring signals from non-hairy sites without use of gel or skin preparation; (2) a miniature data acquisition circuitry; (3) wireless telemetry; and (4) online signal processing on a commercially available cell phone or a lightweight, wearable digital signal processing module. The applicability of the NCTU BCI-headband to EEG monitoring in real-world environments was demonstrated in a sample study: cognitive-state monitoring and management of participants performing normal tasks.

Keywords

Dry electrodes brain computer interface mobile and wireless EEG 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Chin-Teng Lin
    • 1
    • 2
  • Li-Wei Ko
    • 1
    • 2
  • Che-Jui Chang
    • 1
    • 2
  • Yu-Te Wang
    • 1
    • 3
  • Chia-Hsin Chung
    • 1
    • 3
  • Fu-Shu Yang
    • 1
    • 3
  • Jeng-Ren Duann
    • 1
    • 4
  • Tzyy-Ping Jung
    • 1
    • 4
  • Jin-Chern Chiou
    • 1
    • 2
  1. 1.Brain Research CenterNational Chiao-Tung University (NCTU)HsinchuTaiwan, R.O.C.
  2. 2.Department of Electrical and Control EngineeringNational Chiao-Tung UniversityHsinchuTaiwan, R.O.C.
  3. 3.Department of Computer ScienceNational Chiao-Tung UniversityHsinchuTaiwan, R.O.C.
  4. 4.Swartz Center for Computational Neuroscience, Institute for Neural ComputationUniversity of California San DiegoLa JollaUSA

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