Using methods-time measurement to connect digital humans and motion databases

Authors:
Ali Keyvani;Dan Lämkull;Gunnar Bolmsjö;Roland Örtengren
Affiliations:
Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden,Department of Engineering Science, University West, Trollhättan, Sweden,Innovatum AB, T ...;Virtual Methods & IT, Volvo Car Corporation, Gothenburg, Sweden;Department of Engineering Science, University West, Trollhättan, Sweden;Department of Product and Production Development, Chalmers University of Technology, Gothenburg, Sweden
Venue:
DHM'13 Proceedings of the 4th international conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management: human body modeling and ergonomics - Volume Part II
Year:
2013

Citing 9
Cited 0

Motion warping

SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Motion capture-driven simulations that hit and react

Proceedings of the 2002 ACM SIGGRAPH/Eurographics symposium on Computer animation
Flexible automatic motion blending with registration curves

Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Segmenting motion capture data into distinct behaviors

GI '04 Proceedings of the 2004 Graphics Interface Conference
Motion Blending for Real-Time Animation while Accounting for the Environment

CGI '04 Proceedings of the Computer Graphics International
Synthesizing animations of human manipulation tasks

ACM SIGGRAPH 2004 Papers
On-line motion blending for real-time locomotion generation: Research Articles

Computer Animation and Virtual Worlds - Special Issue: The Very Best Papers from CASA 2004
Motion generation from MTM semantics

Computers in Industry
Schema for motion capture data management

ICDHM'11 Proceedings of the Third international conference on Digital human modeling

Quantified Score

Hi-index	0.00

Visualization

Abstract

To simulate human motions in DHM tools, using techniques which are based on real human data is one promising solution. We have presented a solution in this study to connect motion databases with DHM tools. We have showed that using a motion database with MTM-based annotations is a promising way in order to synthesize natural looking motions. A platform consists of a Motion Database, a Motion Generator, and a DHM tool was introduced and tested. The results showed successful application of the presented platform in the designed test case.