EEG-based individual and context recognition system in ubiquitous environment

Quanying Liu, Chengsheng Mao, Bijuan Nie, Bin Hu*

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

In order to implement electroencephalography(EEG)-based individual identification system in ubiquitous environment, as well as to meet the requirements of contextual state awareness, we propose an EEG based individual and context recognition system implementations. Aiming at fulfilling ubiquitous demands of individual identification system in the certain scope(such as the interface to authentication), an EEG-based individual and context recognition system in ubiquitous environment is presented which includes EEG collection, signal de-nosing, feature extraction and pattern recognition. In order to validate the system, the experiments involving five subjects and three contextual states are conducted. The accuracy of individual identification is 96.43% and the accuracy of contextual state recognition is 92.31%, which confirms the feasibility of this plan.

Original languageEnglish (US)
Pages (from-to)263-266
Number of pages4
JournalDongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition)
Volume40
Issue numberSUPPL. 2
StatePublished - Nov 2010
Externally publishedYes

Keywords

  • Context recognition
  • Electroencephalography(EEG)
  • Individual recognition
  • Ubiquitous

ASJC Scopus subject areas

  • Engineering(all)

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