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

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

28 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 - 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
Country/TerritoryUnited States
CitySan Diego, CA
Period19/07/0924/07/09

Keywords

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

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