Tools for interaction with the creative process of composition
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The evolution of an interface for choreographers
INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
Digital Representations of Human Movement
ACM Computing Surveys (CSUR)
A graphics editor for labanotation
SIGGRAPH '76 Proceedings of the 3rd annual conference on Computer graphics and interactive techniques
The integration of subjective and objective data in the animation of human movement
SIGGRAPH '80 Proceedings of the 7th annual conference on Computer graphics and interactive techniques
Motion synthesis from annotations
ACM SIGGRAPH 2003 Papers
Applications of Computers to Dance
IEEE Computer Graphics and Applications
From dance notation to human animation: The LabanDancer project: Motion Capture and Retrieval
Computer Animation and Virtual Worlds - CASA 2005
Motion retrieval based on movement notation language: Motion Capture and Retrieval
Computer Animation and Virtual Worlds - CASA 2005
Mocap data editing via movement notations
CAD-CG '05 Proceedings of the Ninth International Conference on Computer Aided Design and Computer Graphics
Aspects of the Kinematic Simulation of Human Movement
IEEE Computer Graphics and Applications
Hi-index | 0.00 |
Motion choreography is a design process of creating, structuring and forming body movements. We proposed and implemented a notation-based motion choreography system, LabanChoreographer version 0.1. Given the user specified movement notations, it will firstly perform Laban-based motion retrieval to find the most similar motions from a motion capture database notated with Labanotation, and snap together these retrieved motion clips into a continuous rough motion sequence that match the input Laban sequence as much as possible. Secondly, Laban-based motion editing algorithm is employed to semi-automatically revise and refine this candidate motion sequence such that the resulting motion data can best approximate the desired motion in the user’s mind. The choreographer is able to move flexibly back and forth between Labanotations and its rapid-prototyped motion data. It well supports the iterative and interactive development of movement ideas at a conceptual level.