Interactive Intelligent Media Player Based on Head Motion Recognition

Over the last decade, human computer interaction has become an active research area, which releases people from inactive, inflexible communication with machine. In this paper, a human-machine interaction framework for intelligent media player controller is presented. The overall goal is to develop a video player system which can take action automatically based upon head interactive motion recognition. Combined with image processing technique and pattern recognition theories, the hair cue is used as prior information, and the symmetry along with distribution can be extracted to recognize the head moving direction, which controls the media player action individually, such as going to next or back. The experiment show that the method is easily to implemented and has pretty performance. The system could be transplanted into intelligent home appliance conveniently as well.