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

*Corresponding author for this work

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

23 Scopus citations

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.

Original languageEnglish
Title of host publicationFoundations of Augmented Cognition
Subtitle of host publicationNeuroergonomics and Operational Neuroscience - 5th International Conference, FAC 2009, Held as Part of HCI International 2009, Proceedings
Pages741-748
Number of pages8
DOIs
StatePublished - 1 Dec 2009
Event5th International Conference on Foundations of Augmented Cognition, FAC 2009, Held as Part of HCI International 2009 - San Diego, CA, United States
Duration: 19 Jul 200924 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5638 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Foundations of Augmented Cognition, FAC 2009, Held as Part of HCI International 2009
CountryUnited States
CitySan Diego, CA
Period19/07/0924/07/09

Keywords

  • Brain computer interface
  • Dry electrodes
  • Mobile and wireless EEG

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