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

Olfa Haj Mahmoud 1, 2 Charles Pontonnier 1 Georges Dumont 1 Stéphane Poli 2 Franck Multon 1 
1 MIMETIC - Analysis-Synthesis Approach for Virtual Human Simulation
UR2 - Université de Rennes 2, Inria Rennes – Bretagne Atlantique , IRISA-D6 - MEDIA ET INTERACTIONS
Abstract : 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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https://hal.inria.fr/hal-03328548
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Submitted on : Monday, August 30, 2021 - 12:54:28 PM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM

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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, SAGE Publications, 2021, pp.1-24. ⟨10.1177/ToBeAssigned⟩. ⟨hal-03328548⟩

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