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Titel:

FOCOPP - An approach for a human posture prediction model using internal/external forces and discomfort: SAE Technical Paper 2005-01-2694

Autor(en):
Seitz, T.; Recluta, D.; Zimmerman, D.; Wirsching, H.-J.
Abstract:
Today, there exist several methods to compute a realistic human posture depending on tasks and geometries, with which a human being is interacting. Several approaches use probabilistic models in combination with inverse kinematics. These methods produce acceptable results concerning the reliability and accuracy. However, they are unsatisfying in terms of flexibility concerning application to various tasks, since adapting a probabilistic model to new requirements needs a high technical measuremen...     »
Kongress- / Buchtitel:
Proceedings of the SAE Conference on Digital Human Modeling for Design and Engineering Symposium
Verlag / Institution:
SAE International
Jahr:
2005
Serientitel:
SAE Technical Paper Series
Volltext / DOI:
doi:10.4271/2005-01-2694
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