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

Olfa Haj Mahmoud; Charles Pontonnier; Georges Dumont; Stéphane Poli; Franck Multon

doi:10.1177/ToBeAssigned

Journal articles

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

2 FAURECIA Sièges Automobile S.A.

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.

Keywords : REBA Physical risk factors CR10 Kinematics WMSD

Document type :

Journal articles

Domain :

Physics [physics] / Mechanics [physics] / Biomechanics [physics.med-ph]

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https://hal.inria.fr/hal-03328548
Contributor : Charles Pontonnier Connect in order to contact the contributor
Submitted on : Monday, August 30, 2021 - 12:54:28 PM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM

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

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

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