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Sitting behaviour-based pattern recognition for predicting driver fatigue

Chen, Ronghua 2013, Sitting behaviour-based pattern recognition for predicting driver fatigue, Ph.D thesis, Institute for Frontier Materials, Deakin University.

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Title Sitting behaviour-based pattern recognition for predicting driver fatigue
Author Chen, Ronghua
Institution Deakin University
School Institute for Frontier Materials
Faculty GTP Research
Degree type Research doctorate
Degree name Ph.D
Thesis advisor She, Mary
Kong, LingxueORCID iD for Kong, Lingxue orcid.org/0000-0001-6219-3897
Date submitted 2013-04
Keyword(s) Driver fatigue
Driving environment
Sitting behaviours
Machine learning techniques
Summary The proposed approach based on physiological characteristics of sitting behaviours and sophisticated machine learning techniques would enable an effective and practical solution to driver fatigue prognosis since it is insensitive to the illumination of driving environment, non-obtrusive to driver, without violating driver’s privacy, more acceptable by drivers.
Language eng
Field of Research 110699 Human Movement and Sports Science not elsewhere classified
080109 Pattern Recognition and Data Mining
170114 Sport and Exercise Psychology
Socio Economic Objective 861605 Processor Modules
Description of original xvii, 195 pages : illustrations, tables, graphs, some coloured
Copyright notice ┬ęThe Author. All Rights Reserved
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30061577

Document type: Thesis
Collections: Higher degree theses (full text)
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Created: Thu, 13 Mar 2014, 14:51:50 EST by Belinda Lee

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.