Title :
Detection of drowsy driving based on driving information
Author :
Jeong-Woo Lee ; Shin-Kyung Lee ; Cheol-Hong Kim ; Kyong-Ho Kim ; Oh-Cheon Kwon
Author_Institution :
IT Convergence Technol. Res. Lab., Electron. & Telecommun. Res. Inst., Daejeon, South Korea
Abstract :
A drowsy driving can bring severe traffic accidents. To prevent these accidents and give a warning to a driver, we analyzed the driving information collected from a vehicle simulator and made a model to detect drowsy driving based on vehicle´s behavior such as steering-related and lane-related information. It will be able to provide more effective service for drivers when applied to a vehicle augmented reality system.
Keywords :
accident prevention; driver information systems; road accidents; road traffic; driving information; drowsy driving; lane-related information; steering-related information; traffic accident; vehicle simulator; Accidents; Augmented reality; Data mining; Data models; Roads; Vehicles; Wheels; drowsy driving; steering wheel; vehicle simulator; vehicle´s behavior;
Conference_Titel :
Information and Communication Technology Convergence (ICTC), 2014 International Conference on
Conference_Location :
Busan
DOI :
10.1109/ICTC.2014.6983224
