The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Coupled hidden Markov models for complex action recognition
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A state-based technique for the summarization and recognition of gesture
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
International Journal of Human-Computer Studies - Application of affective computing in humanComputer interaction
Computational Analysis of Mannerism Gestures
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
3D Motion Recognition based on Ensemble Learning
WIAMIS '07 Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services
Gesture control of sounds in 3D space
NIME '07 Proceedings of the 7th international conference on New interfaces for musical expression
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In this paper, we describe completed and ongoing work towards an interactive multimedia system that will appeal to today's youth culture identified as most likely to adopt such novel mobile applications that combines music, dance and technology. We describe our work in the application of three types of successful movement recognition applied in the field of Tai Chi with the objective being to identify gestural primitives of club dance associated with electronic dance music. In this approach, dance movements are first recognized and classified and then mapped, using multiple levels of complexity, to higher level algorithms that can modify multimedia content in real time. The paper describes the mechanisms supporting an attractive alternative to the now standard Video Disc Jockey (VJ) in which members of the dance public are empowered to create multimedia content in real time as opposed to the VJ.