A neural networks approach to determine factors associated with self-reported discomfort in picking tasks - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue Human Factors Année : 2021

A neural networks approach to determine factors associated with self-reported discomfort in picking tasks

Résumé

An approach based on neural network for estimating reported discomfort of subjects on workstations using biomechanical, anthropometric and environmental variables. A new approach of input reduction was proposed while maintaining the accuracy of the prediction model.
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Dates et versions

hal-03328548 , version 1 (30-08-2021)

Identifiants

  • HAL Id : hal-03328548 , version 1

Citer

Olfa Haj Mahmoud, Charles Pontonnier, Georges Dumont, Stéphane Poli, Franck Multon. A neural networks approach to determine factors associated with self-reported discomfort in picking tasks. Human Factors, 2021, pp.1-24. ⟨hal-03328548⟩
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