Journal article
Real-Time Optimal Reach-Posture Prediction in a New Interactive Virtual Environment
Journal of computer science and technology, Vol.21(2), pp.189-198
03/2006
DOI: 10.1007/s11390-006-0189-3
Abstract
Human posture prediction is a key factor for the design and evaluation of workspaces, in a virtual environment using virtual humans. This work presents a new interface and virtual environment for the direct human optimized posture prediction (D-HOPP) approach to predicting realistic reach postures of digital humans, where reach postures entail the use of the torso, arms, and neck. D-HOPP is based on the contention where depending on what type of task is being completed, and human posture is governed by different human performance measures. A human performance measure is a physics-based metric, such as energy or discomfort, and serves as an objective function in an optimization formulation. The problem is formulated as a single-objective optimization (SOO) problem with a single performance measure and as multi-objective-optimization (MOO) problem with multiple combined performance measures. We use joint displacement, change in potential energy, and musculoskeletal discomfort as performance measures. D-HOPP is equipped with an extensive yet intuitive user-interface, and the results are presented in an interactive virtual environment.
Details
- Title: Subtitle
- Real-Time Optimal Reach-Posture Prediction in a New Interactive Virtual Environment
- Creators
- Jingzhou Yang - US Army Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design The University of Iowa 111 Engineering Research Facility Iowa City IA 52242-1000 U.S.AR Timothy Marler - US Army Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design The University of Iowa 111 Engineering Research Facility Iowa City IA 52242-1000 U.S.ASteven Beck - US Army Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design The University of Iowa 111 Engineering Research Facility Iowa City IA 52242-1000 U.S.AKarim Abdel-Malek - US Army Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design The University of Iowa 111 Engineering Research Facility Iowa City IA 52242-1000 U.S.AJoo Kim - US Army Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design The University of Iowa 111 Engineering Research Facility Iowa City IA 52242-1000 U.S.A
- Resource Type
- Journal article
- Publication Details
- Journal of computer science and technology, Vol.21(2), pp.189-198
- Publisher
- Kluwer Academic Publishers; Boston
- DOI
- 10.1007/s11390-006-0189-3
- ISSN
- 1000-9000
- eISSN
- 1860-4749
- Language
- English
- Date published
- 03/2006
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Mechanical Engineering
- Record Identifier
- 9984064109902771
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