Assessing and improving human movements using sensitivity analysis and digital human simulation

Abstract : Enhancing the performance of technical movements aims both at improving operational results and at reducing biomechanical demands. Advances in human biomechanics and modeling tools allow to evaluate human performance with more and more details. Finding the right modifications to improve the performance is, however, still addressed with extensive time consuming trial-and-error processes. This paper presents a framework for easily assessing human movements and automatically providing recommendations to improve their performances. An optimization-based whole-body controller is used to dynamically replay human movements from motion capture data, to evaluate existing movements. Automatic digital human simulations are then run to estimate performance indicators when the movement is performed in many different ways. Sensitivity indices are thereby computed to quantify the influence of postural parameters on the performance. Based on the results of the sensitivity analysis, recommendations for posture improvement are provided. The method is successfully validated on a drilling activity.
Type de document :
Article dans une revue
International Journal of Computer Integrated Manufacturing, Taylor & Francis, In press
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01221647
Contributeur : Pauline Maurice <>
Soumis le : mercredi 6 février 2019 - 17:08:15
Dernière modification le : samedi 9 février 2019 - 01:27:03

Fichier

Assessing and improving human ...
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01221647, version 3

Citation

Pauline Maurice, Vincent Padois, Yvan Measson, Philippe Bidaud. Assessing and improving human movements using sensitivity analysis and digital human simulation. International Journal of Computer Integrated Manufacturing, Taylor & Francis, In press. 〈hal-01221647v3〉

Partager

Métriques

Consultations de la notice

42

Téléchargements de fichiers

22