A Novel Depth-based Head Tracking and Gesture Recognition System
Shivanand Guness, Farzin Deravi, Konstantinos Sirlantzis, Pepper M.G., Mohamed Sakel · IOS Press eBooks · 2013
This paper presents the architecture for a novel RGB-D based assistive device that incorporates depth as well as RGB data to enhance head tracking and facial gesture based control for severely disabled users. Using depth information it is possible to remove background clutter and therefore achieve a more accurate and robust performance. The system is compared with the CameraMouse, SmartNav and our previous 2D head tracking system. For the RGB-D system, the effective throughput of dwell clicking increased by a third (from 0.21 to 0.30 bits per second) and that of blink clicking doubled (from 0.15 to 0.28 bits per second) compared to the 2D system.