Conference proceeding
A New Discomfort Function for Optimization-Based Posture Prediction
SAE Technical Paper Series
Digital Human Modeling for Design and Engineering Symposium, 2005
06/14/2005
DOI: 10.4271/2005-01-2680
Abstract
Using multi-objective optimization, we develop a new human performance measure for direct optimizationbased posture prediction that incorporates three key factors associated with musculoskeletal discomfort: 1) the tendency to move different segments of the body sequentially, 2) the tendency to gravitate to a comfortable neutral position, and 3) the discomfort associated with moving while joints are near their respective limits. This performance measure operates in real-time and provides realistic postures. The results are viewed using Santos™, an advanced virtual human, and they are validated using motion-capture. This research lays groundwork for studying how and why humans move as they do.
Details
- Title: Subtitle
- A New Discomfort Function for Optimization-Based Posture Prediction
- Creators
- R. Timothy Marler - University of IowaSalam Rahmatalla - University of IowaMeagan Shanahan - University of IowaKarim Abdel-Malek
- Resource Type
- Conference proceeding
- Conference
- Digital Human Modeling for Design and Engineering Symposium, 2005
- Series
- SAE Technical Paper Series
- DOI
- 10.4271/2005-01-2680
- ISSN
- 0148-7191
- eISSN
- 2688-3627
- Language
- English
- Date published
- 06/14/2005
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Civil and Environmental Engineering; Injury Prevention Research Center; Mechanical Engineering
- Record Identifier
- 9984196536702771
Metrics
24 Record Views