Title :
Research on drive fatigue detection using wavelet transform
Author :
Mao, Mingwang ; Du, Liping
Author_Institution :
Nat. Inst. of Stand. & Technol., Boulder
Abstract :
Driver fatigue is an important factor causing serious traffic accidents and often results in many people deaths or injuries. Therefore, many countries have made great effort on how to detect driver fatigue. This paper presents a new approach to detect driver fatigue based on discrete wavelet transform which has been used to extract the key features for constructing the classifier to identify driver fatigue. . The analyzed data are obtained from experiments using driving simulator. The result proves the algorithm is valid.
Keywords :
fatigue; road accidents; road safety; road traffic; wavelet transforms; drive fatigue detection; serious traffic accidents; wavelet transform; Brain modeling; Computational modeling; Data mining; Fatigue; Testing; Vehicle detection; Vehicle driving; Vehicles; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Vehicular Electronics and Safety, 2007. ICVES. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1265-5
Electronic_ISBN :
978-1-4244-1266-2
DOI :
10.1109/ICVES.2007.4456391