NDLI: Multi-class identification of driver's cognitive distraction with error-correcting output coding (ECOC) method

Content Provider	IEEE Xplore Digital Library
Author	Nagase, A. Kawanaka, H. Bhuiyan, M.S. Oguri, K.
Copyright Year	2009
Description	Author affiliation: Graduate School of Information Science and Technology, Aichi Pre-fectural University, Aichi, 480-1198 Japan (Nagase, A.; Kawanaka, H.; Oguri, K.) \|\| Medical Information Science Department, and with the Graduate School of Medical Imaging, Suzuka University of Medical Science, Suzuka, Mie, 520-0293 Japan (Bhuiyan, M.S.)
Abstract	Human cognitive state monitoring is quite important for active safety which is a technology to prevent accidents. While driving, cognitive distraction like conversation or thoughts unrelated to driving has potential hazards. Identification of cognitive distraction has already been reported in literature. However, multi-class identification of cognitive distraction has yet to be reported. This paper suggests a multi-class identification with the Error-Correcting Output Coding (ECOC) method, which is one of the multi-class pattern recognition methods. Four sets of biological information are used as features for the identification of cognitive distraction. Two kinds of ECOC methods having different decoding rules were also compared. Consequently, higher identification capability of cognitive distraction was achieved. Finally, we discussed optimal combination of either two, three, or four feature sets and their implications.
Starting Page	1
Ending Page	6
File Size	635962
Page Count	6
File Format	PDF
ISBN	9781424455195
DOI	10.1109/ITSC.2009.5309706
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pattern recognition Support vector machines Intelligent transportation systems Monitoring Safety Decoding Road accidents Electrocardiography Feature extraction USA Councils
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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