Title :
A Feasibility Study of Driver´s State Assessment System Using Audio and Video
Author :
Kim, Hye-Jin ; Han, WooYoung
Abstract :
This paper presents a method to estimate a driver´s drowsiness and distraction using audio and video information. Drowsiness can be detected by eye movement and mouth movement. A driver´s distraction can be estimated by a driver´s voice detection using beamforming method and mouth movement.
Keywords :
Driving; PERCLOS; PERMOP; eye closure; mouth movement;
Conference_Titel :
Connected Vehicles and Expo (ICCVE), 2012 International Conference on
Conference_Location :
Beijing, China
Print_ISBN :
978-1-4673-4705-1
DOI :
10.1109/ICCVE.2012.79
