The Community for Technology Leaders
Green Image
Issue No. 01 - January-March (2006 vol. 13)
ISSN: 1070-986X
pp: 37-45
Sethuraman Panchanathan , Arizona State University
Kanav Kahol , Arizona State University
Priyamvada Tripathi , 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
Sethuraman Panchanathan, Kanav Kahol, Priyamvada Tripathi, "Documenting Motion Sequences with a Personalized Annotation System", IEEE MultiMedia, vol. 13, no. , pp. 37-45, January-March 2006, doi:10.1109/MMUL.2006.5
100 ms
(Ver 3.1 (10032016))