IEC-based motion retrieval system using Laban movement analysis
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part IV
Implementation of a notation-based motion choreography system
VSMM'06 Proceedings of the 12th international conference on Interactive Technologies and Sociotechnical Systems
Super Mirror: a kinect interface for ballet dancers
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Human motion retrieval using topic model
Computer Animation and Virtual Worlds
Efficient motion retrieval in large motion databases
Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
Hi-index | 0.00 |
With the increased availability of motion capture data, the volume of motion library grows so large that it is difficult for animators to manually browse the dataset to search desired motions for reuse. To address this issue, we implement a framework, which allows the user to retrieve motions via Labanotation. For each motion clip in the library, we generate a corresponding Labanotation sequence as additional motion property. A similarity metric for Labanotation sequences is proposed and used to search the motions that have similar Laban descriptions. Our search algorithm is able to retrieve motion segments that only match part of the query Laban sequence. Then based on dynamic programming, these segments are stitched together to form a smooth output motion that is in an optimal sense of matching query Laban sequence. Experimental results demonstrate our method could effectively improve the utilization of motion data. Copyright © 2005 John Wiley & Sons, Ltd.