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.
human computer interaction head motion recognition intelligent media player Multimodal Integration
Wang Ruihu Bi Hongwei Liu Jiachen Wu Lingguo Fang Bin
School of Computer Science Chongqing University of Arts and Sciences Chongqing, China College of Computer ScienceChongqing UniversityChongqing, China
国际会议
Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)
南昌
英文
737-740
2009-05-22（万方平台首次上网日期，不代表论文的发表时间）