DocumentCode
3380074
Title
Evaluation model of cognitive distraction state based on eye-tracking data using neural networks
Author
Harada, Tatsuya ; Iwasaki, Hisao ; Mori, Kazuo ; Yoshizawa, Akira ; Mizoguchi, Fumio
Author_Institution
Tokyo Univ. of Sci., Chiba, Japan
fYear
2013
fDate
16-18 July 2013
Firstpage
428
Lastpage
434
Abstract
Eye tracking reveals a person´s state of mind. Thus, representing personal cognitive states using eye tracking leads to objective evaluations of these states, and this can be applied to various fields. In this paper, we propose a model that evaluates the degree of personal distraction based on eye tracking. Moreover, we apply the proposed model to eye tracking for a person driving a car.
Keywords
cognition; neural nets; car driving; cognitive distraction state; eye-tracking data; neural networks; personal distraction; Context; Data models; Educational institutions; Load modeling; Recurrent neural networks; Vehicles; car driving; distraction model; distraction state; eye tracking; neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2013 12th IEEE International Conference on
Conference_Location
New York, NY
Print_ISBN
978-1-4799-0781-6
Type
conf
DOI
10.1109/ICCI-CC.2013.6622278
Filename
6622278
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