Towards a new system for drowsiness detection based on eye blinking and head posture estimation
This addresses road safety by detecting driver drowsiness, but it appears incremental as it builds on existing techniques like Viola-Jones.
The paper tackles driver drowsiness detection by proposing a system that uses video analysis of eye blinking and head posture to identify drowsiness states, aiming to prevent road accidents.
Driver drowsiness problem is considered as one of the most important reasons that increases road accidents number. We propose in this paper a new approach for realtime driver drowsiness in order to prevent road accidents. The system uses a smart video camera that takes drivers faces images and supervises the eye blink (open and close) state and head posture to detect the different drowsiness states. Face and eye detection are done by Viola and Jones technique.