Title :
Riyadisi — Intelligent driver monitoring system
Author :
Darshana, K.U.G.S. ; Fernando, M.D.Y. ; Jayawadena, S.S. ; Wickramanayake, S.K.K.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Moratuwa, Moratuwa, Sri Lanka
Abstract :
Road accidents have become a major problem that causes nearly 1.3 million people die and 25-50 million people injured or disabled in each year all around the world. It has been calculated that 10% to 20% of traffic accidents with dead drivers are caused by driver inattention. Drowsiness and distraction of drivers have become the main causes for driver inattention. Drowsiness is something unavoidable and out of control of the driver. Sleepiness increases reaction time and generates the decreased vigilance level, alertness and concentration. Hence the quality of decision making may be affected. Reduced attention and raised reaction time increase the probability of road accidents. Distractions such as looking away, using mobile phone or navigation systems are also obviously cause to make driver loses his/ her focus.
Keywords :
computerised monitoring; driver information systems; human factors; infrared imaging; video cameras; video signal processing; video streaming; IR camera; Riyadisi; alertness; automated driver attention assistance system; decision making; distraction; driver concentration; driver inattention; drowsiness; intelligent driver monitoring system; reaction time; road accident probability; sleepiness; traffic accidents; video stream; vigilance level; Biomedical monitoring; Monitoring; Real-time systems; Road accidents; Sleep; Vehicles; Visualization; Computer Vision; Driver drowsiness and distraction detection; Machine Learning;
Conference_Titel :
Advances in ICT for Emerging Regions (ICTer), 2013 International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4799-1275-9
DOI :
10.1109/ICTer.2013.6761200