Real-time vigilance estimation using mobile wireless mindo EEG device with spring-loaded sensors

Li-Wei Ko, Chun Hsiang Chuang, Chih Sheng Huang, Yen Hsuan Chen, Shao Wei Lu, Lun De Liao, Wan Ting Chang, Chin Teng Lin

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

1 Scopus citations

Abstract

Monitoring the neurophysiological activities of human brain dynamics in an operational environment poses a severe measurement challenge using current laboratory-oriented biosensor technology. The goal of this research is to design, develop and test the wearable and wireless dry-electrode EEG human-computer interface (HCI) that can allow assessment of brain activities of participants actively performing ordinary tasks in natural body positions and situations within a real operational environment. Its implications in HCI were demonstrated through a sample application: vigilance-state prediction of participants performing a realistic sustained-attention driving task. Besides, this study further developed an online signal processing for extracting EEG features and assessing cognitive performance. We demonstrated the feasibility of using dry EEG sensors and miniaturized supporting hardware/software to continuously collect EEG data recorded from hairy sites (i.e., occipital region) in a realistic VR-based dynamic driving simulator.

Original languageEnglish
Title of host publicationFoundations of Augmented Cognition - 7th International Conference, AC 2013, Held as Part of HCI International 2013, Proceedings
Pages450-458
Number of pages9
DOIs
StatePublished - 7 Oct 2013
Event7th International Conference on Foundations of Augmented Cognition, AC 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013 - Las Vegas, NV, United States
Duration: 21 Jul 201326 Jul 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8027 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Foundations of Augmented Cognition, AC 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013
CountryUnited States
CityLas Vegas, NV
Period21/07/1326/07/13

Keywords

  • Drowsy driving
  • Humancomputer interface
  • Mindo
  • Wireless and dry EEG device

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