| Abstract: | Many existing job analysis tools for ergonomics have concentrated on the potential adverse effects of force, posture, and repetition, as these appear to be traditionally recognized risk factors in the workplace. Recent investigations have indicated that this pragmatic approach may be overly simplistic, and thus miss prediction of risk factors associated with certain motions. This article reviews some of the research under way in the University of Michigan's Human Motion Simulation Laboratory to develop a set of human motion prediction models. To produce these models, over 37,000 motions of 100 men and women from 18 to 78 years in age have been measured with a motion capture system. The motions are typical of people reaching and moving light to moderate load objects while either seated or standing. A 17‐link kinematics model has been developed to resolve the dynamics of the motions. Thus far, initial motion algorithms have been developed that capture well over 95% of the between participant repeatability. Advantages and limitations of the methods and data being used are discussed and illustrated. © 2002 Wiley Periodicals, Inc. |
