Face-Based Perceptual Interface for Computer- Human interaction

Abstract

Nowadays accessibility to new technologies for everyone is a task to accomplish. A way to contribute to this aim is creating new interfaces based on computer vision using low cost devices such as webcams. In this paper a face-based perceptual user interface is presented. Our approach is divided in four steps: automatic face detection, best face features detection, feature tracking and face gesture recognition. Using facial feature tracking and face gesture recognition it is possible to replace the mouse’s motion and its events. This goal implies the restriction of real-time response and the use of unconstrained environments. Finally, this application has been tested successfully on disabled people with problems in hands or arms that can not use the traditional interfaces such as a mouse or a keyboard.