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Prediction of hand forces and moments using neural net modeling of ground reaction forces and kinematic data.
Wiker-S; Sinsel-E; McFerron-J
J Biomech 2007 Jul; 40(S2):S28
Occupational biomechanical models require reasonably accurate hand forces and moments to sequentially compute joint reaction forces and moments through the body producing ground forces and moments. We have pursued development of Artificial Neural Network (ANN) models to predict independent hand forces and moments using limited postural data and measured ground reaction forces. This paper summarizes our initial findings regarding the validity of the proposed modeling schema.
Biodynamics; Biokinetics; Biomechanical-modeling; Biomechanics; Body-mechanics; Body-regions; Ergonomics; Kinetics; Mathematical-models; Measurement-equipment; Simulation-methods; Neuromuscular-function; Neuromuscular-system; Physiological-response; Physiological-stress; Physiology; Posture
Issue of Publication
Journal of Biomechanics
Page last reviewed: September 2, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division