A New Discomfort Function for Optimization-Based Posture Prediction University of Iowa

Format:

Conference/Event

Author/Creator:

Marler, R. Timothy, author.

Conference Name:

2005 Digital Human Modeling for Design and Engineering Symposium (2005-06-14 : Iowa City, Iowa, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2005

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2005-01-2680

Access Restriction:

Restricted for use by site license