Biomechanical simulation of a lifting task.
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1992/08/01
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Description:A discussion was provided on the formation of a simulation model to provide the motion patterns of various joints of a subject performing a task such a sagittal lifting. The hypothesis used to create the simulation model was that the body performs the lift by minimizing a certain cost function. The cost function was used to decide how to distribute the workload to various joints when joints are considered as resources. There were in general three tasks to be undertaken to accomplish the simulation. First, the possible postures composed by the joints at each time frame during the lift must be generated. The second task was to evaluate the kinematics and kinetics of the lift generated by the first task. The third task was to use the optimal principles to improve the basic lifting motion. Simulation models differed from biomechanical models in that biomechanical models require large amounts of input information about the displacement time relationships, while simulation models can generate the displacement time relationship as an output. The authors suggest that although these simulation models depend on optimization theory and techniques, they do provide a feasible alternative to obtain the knowledge of human motion. [Description provided by NIOSH]
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ISBN:0748400311
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NIOSHTIC Number:nn:00218144
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Citation:Advances in industrial ergonomics and safety IV. Kumar S, Mital A, eds., New York: Taylor and Francis, 1992 Aug; 4:831-838
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Federal Fiscal Year:1992
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Performing Organization:Industrial Engineering, Texas Tech University, P O Box 4130, Lubbock, Tx 79409
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Peer Reviewed:False
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Start Date:19880101
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Source Full Name:Advances in industrial ergonomics and safety IV. Proceedings of the Annual International Industrial Ergonomics and Safety Conference held in Denver, Colorado, 10-14 June 1992. The Official Conference of the International Foundation for Industrial Ergonomics and Safety Research
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End Date:19950831
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Main Document Checksum:urn:sha-512:7dc847c09aedf140bc731323e8446b4703641ae07d6ad9e7b7238120dab30b8f7dcaa9b938d34d035f87873a0fe7fec262d5d13dcaf290925445e82b6de3b57d
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