Markerless Head Gesture Recognition for Human Computer Interaction
Ryszard S. Choras and Rafal Kozik
Affiliation: Institute of Telecommunications, University of Technology&Life Sciences, Kaliskiego 7, 85-796 Bydgoszcz, Poland
In this paper an efficient method for human-computer interaction is presented. This method combines both face gestures and head rotation information to emulate mouse device and control the machine in contactless way. The user-defined face gestures are used to emulate the mouse buttons while the head rotation is used to update mouse position on the screen. The robustness of the proposed system was evaluated during the set of tests concerning 3D games and other applications facilitated with graphical user interfaces. The advantages of proposed solutions are also compared with patent , which concerns similar research area.
Keywords: Human computer interaction, head gesture, markerless face tracking, face detection, Human Computer Interfaces, Face gestures, face detector, FACE GESTURE DETECTION, vision-based eye tracking, human-machine interactions, rotational robustness, Neural network, face detection algorithm, autonomous robots, texture information
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