AMOBA: a database system for annotating captured human movements
- 25 June 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
For the management of a large number of motion data for humanoid virtual actors we propose to use a database system to store and retrieve motion data with additional information. We show key questions lying behind the different classification schemes for human motion. Having obtained these criteria, we deduce the requirements a database has to fulfil for coping different classification schemes. We describe the AMOBA database system which allows to store and retrieve human movement data with an expandable set of classification schemes. To implement classification schemes we annotate movements with specific characteristics Author(s) Grunvogel, S. Laboratory for Mixed Realities, Acad. of Media Arts Cologne, Koln, Germany Piesk, J. ; Schwichtenberg, S. ; Buchel, G.Keywords
This publication has 8 references indexed in Scilit:
- Realistic synthesis of novel human movements from a database of motion capture examplesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000
- Retargetting motion to new charactersPublished by Association for Computing Machinery (ACM) ,1998
- Adapting simulated behaviors for new charactersPublished by Association for Computing Machinery (ACM) ,1997
- The initiation of normal walkingMovement Disorders, 1994
- Specifying gestures by exampleACM SIGGRAPH Computer Graphics, 1991
- Gesture recognition using recurrent neural networksPublished by Association for Computing Machinery (ACM) ,1991
- A hand gesture interface devicePublished by Association for Computing Machinery (ACM) ,1986
- The Control of WalkingScientific American, 1976