Documenting Motion Sequences with a Personalized Annotation System


We present a novel technique for motion annotation that adapts to a person’s style and vocabulary of basic movements (gestures). The system segments continuous motion sequences into gestures, which it then documents in a personalized annotation with an intuitive hierarchical representation. Initial testing suggests that software based on this technique could be an effective teaching aid for dance and sports. F or centuries, choreographers and dancers have created human motion sequences to communicate emotions and storylines. They represent our cultural heritage and must be conserved for future generations to experience and enjoy. One of the major challenges in teaching, as well as documenting these motion sequences, is the lack of a formalized language and notation of generic motion. Such a language and notation system would

DOI: 10.1109/MMUL.2006.5

6 Figures and Tables

Cite this paper

@article{Kahol2006DocumentingMS, title={Documenting Motion Sequences with a Personalized Annotation System}, author={Kanav Kahol and Priyamvada Tripathi and Sethuraman Panchanathan}, journal={IEEE MultiMedia}, year={2006}, volume={13}, pages={37-45} }