Issue No. 01 - January-March (2006 vol. 13)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MMUL.2006.5
Kanav Kahol , Arizona State University
Priyamvada Tripathi , Arizona State University
Sethuraman Panchanathan , Arizona State University
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.
Human motion analysis and documentation, dance movement analysis
S. Panchanathan, K. Kahol and P. Tripathi, "Documenting Motion Sequences with a Personalized Annotation System," in IEEE MultiMedia, vol. 13, no. , pp. 37-45, 2006.