Sitting behaviour-based pattern recognition for predicting driver fatigue
Contribuinte(s) |
She, Mary Kong, Lingxue |
---|---|
Data(s) |
01/04/2013
|
Resumo |
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. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Deakin University, GTP Research, Institute for Frontier Materials |
Relação |
http://dro.deakin.edu.au/eserv/DU:30061577/chen-agreement-2013.pdf http://dro.deakin.edu.au/eserv/DU:30061577/chen-sittingbehaviour-2013A.pdf |
Direitos |
The Author. All Rights Reserved |
Palavras-Chave | #Driver fatigue #Driving environment #Sitting behaviours #Machine learning techniques |
Tipo |
Thesis |