Interactive motion generation from examples
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
A Database Approach for Modeling and Querying Video Data
IEEE Transactions on Knowledge and Data Engineering
Realistic synthesis of novel human movements from a database of motion capture examples
HUMO '00 Proceedings of the Workshop on Human Motion (HUMO'00)
Motion synthesis from annotations
ACM SIGGRAPH 2003 Papers
Example-based control of human motion
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
Computer Animation and Virtual Worlds - Special Issue: The Very Best Papers from CASA 2004
Pattern Recognition Letters
A labanotation based ontology for representing dance movement
GW'11 Proceedings of the 9th international conference on Gesture and Sign Language in Human-Computer Interaction and Embodied Communication
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A framework for semantic annotation of human motion sequences is proposed in this paper. Motion capture technology is widely used for manufacturing animation but it has a significant weakness due to the lack of an industry wide standard for archiving and retrieving motion capture data. It is difficult for animators to retrieve the desired motion sequences from motion capture files as there is no semantic annotation on already captured motion data. Our goal is to improve the reusability of motion capture data. To archive our goal first, we propose a standard format for integrating different motion capture file formats. Second, we define motion ontologies that are used to annotate and semantically organize human motion sequences. This ontology-based approach provides the means for discovering and exploiting the information and knowledge surrounding motion capture data.