Predicting Foot Positions for Manual Materials Handling Tasks David W. Wagner, Matthew P. Reed, Don Chaffin Proceedings of the SAE Digital Human Modeling for Design and Engineering Conference, Iowa City, Iowa, June 14-16, 2005 For many industrial tasks (push, pull, lift, carry, etc), restrictions on grip locations and visibility constrain the hand and head positions and help to define feasible postures. In contrast, often the foot locations are minimally constrained and an ergonomic analyst could choose several different stances in selecting a posture to analyze. Also, because stance can be a critical determinant of a biomechanical assessment of the work posture, the lack of a valid method for placing the feet of a manikin with respect to the task compromises the accuracy of the analysis. To address this issue, foot locations and orientations were captured in a laboratory study of sagittal plane and asymmetric manual load transfers. Participants approached a load located on one of three shelves and transferred the load to one of six other shelves. The data illustrate foot placements and behaviors that depend on pickup heights, the use of one or two hands to grasp the object, and the participants' body dimensions. Two distinct pickup and delivery strategies were observed. Split stance, with one foot in front of the other, was markedly more frequent than parallel stance with both feet side by side. A statistical model was developed to predict foot placements at load pickup. A commercial human figure model was then used to quantify the effects of foot placement on a biomechanical analysis of the transfer task. abs2005_02
Predicting Foot Positions for Manual Materials Handling ...
could choose several different stances in selecting a posture to analyze. Also ... The data illustrate foot placements and ... A statistical model was developed to.
Ergonomic job analysis commonly applies static postural and biomechanical analysis ... Video data for 529 pickup and delivery tasks from 32 automotive.
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Woojin Park, Don B. Chaffin, Kevin Rider, and Bernard J. Martin. Proceedings of SAE Digital Human Modeling for Design and Engineering Conference,. Montreal, CANADA, June 16-19, 2003. Simulation of human motions in virtual environments is an essential
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