Documenting Motion Sequences: Development of a Personalized Annotation System
نویسندگان
چکیده
Kanav Kahol, Priyamvada Tripathi, Sethuraman Panchanathan Center for Cognitive Ubiquitous Computing (CUbiC) Arizona State University 699 S Mill Avenue Tempe, Arizona-85281, USA {kanav,pia,panch}@asu.edu Abstract We present a novel technique for motion annotation that adapts to a user’s style and vocabulary of basic movements, herein called gestures. Initial testing suggests that software based on this technique could be an effective aid in teaching, documentation, and dissemination of stylized motions, such as dance and sports.
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