A New Discomfort Function for Optimization-Based Posture Prediction 2005-01-2680
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.
Citation: Marler, R., Rahmatalla, S., Shanahan, M., and Abdel-Malek, K., "A New Discomfort Function for Optimization-Based Posture Prediction," SAE Technical Paper 2005-01-2680, 2005, https://doi.org/10.4271/2005-01-2680. Download Citation
Author(s):
R. Timothy Marler, Salam Rahmatalla, Meagan Shanahan, Karim Abdel-Malek
Affiliated:
University of Iowa
Pages: 12
Event:
2005 Digital Human Modeling for Design and Engineering Symposium
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Human factors
Comfort
Research and development
Optimization
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