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Journal articles

Overview on dynamic identification methods of floating base anthropomorphic structures

Vincent Bonnet 1 Maxime Gautier 2 Raphaël Dumas 3 Samer Mohammed 1 Thomas Robert 3 Gentiane Venture 4 Philippe Fraisse 5 
1 LISSI - Laboratoire Images, Signaux et Systèmes Intelligents
2 LS2N - Laboratoire des Sciences du Numérique de Nantes
3 LBMC UMR T9406 - Laboratoire de Biomécanique et Mécanique des Chocs
4 TUAT - Tokyo University of Agriculture and Technology
5 IDH - Interactive Digital Humans
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Résumé : This study aims at presenting and discussing perspectives for the different approaches proposed by our group over the last five years to evaluate BSIP of anthropomorphic structures.
Keywords : Identification Body segment inertia parameters
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Journal articles
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https://hal.archives-ouvertes.fr/hal-03673695
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Submitted on : Friday, May 20, 2022 - 10:52:23 AM
Last modification on : Tuesday, July 5, 2022 - 10:15:25 AM

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UNIV-NANTES | INSTITUT-TELECOM | UPEC-UPEM | CNRS | UNIV-LYON1 | EC-NANTES | LISSI | UPEC | UNAM | IFSTTAR | IDH | LIRMM | LS2N | MIPS | UNIV-MONTPELLIER | LBMC | UDL

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Vincent Bonnet, Maxime Gautier, Raphaël Dumas, Samer Mohammed, Thomas Robert, et al.. Overview on dynamic identification methods of floating base anthropomorphic structures. Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis, 2019, 22 (sup1: 44th Congress of the Société de Biomécanique), pp.S471-S473. ⟨10.1080/10255842.2020.1714985⟩. ⟨hal-03673695⟩

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