Analysis of Relation between Brain Wave and Automatic Eye Status Recognition for Estimating Human's Internal Status

Accession number;07A0176778
Title;Analysis of Relation between Brain Wave and Automatic Eye Status Recognition for Estimating Human's Internal Status
Author; MITO DAISUKE (Kagoshima Univ., Fac. Engineering, JPN) ITO MASATO (Kagoshima Univ., Fac. Engineering, JPN) FUKUZOE TAKAAKI (Kagoshima Univ., Fac. Engineering, JPN) WATANABE MUTSUMI (Kagoshima Univ., Fac. Engineering, JPN)
Journal Title;IPSJ Transactions on Database
Journal Code:Z0778A
ISSN:0387-5806
VOL.48;NO.SIG1(CVIM17);PAGE.48-52(2007)
Figure&Table&Reference;FIG.4, TBL.2, REF.10
Pub. Country;Japan
Language;Japanese
Abstract;From the viewpoint of safety insurance, automatic recognition of person's internal status, for example, tiredness of a driving person, is regard as highly necessary. Vision-based analysis of human motion and face expression in unconstrained conditions is considered as effective to realize the automatic recognition system. The authors have started the research of estimating the state of person's concentrated or tired level through eye conditions, such as, the blink frequency and the open degree of eyes. This paper mainly reports the analysis to examine the relation between vision-based recognition results of full-blinking and "vacant eye" with human-based measurement results using brain wave. (author abst.)