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Communication Dans Un Congrès Année : 2017

Whole body segment inertia parameters estimation from movement and ground reaction forces: a feasibility study

Résumé

Body segment inertia parameters (BSIP) are necessary parameters to perform dynamic analysis of human movement. However, as they cannot be directly measured in a non-invasive way, they are classically estimated using anthropometric tables (AT, e.g. Dumas et al. 2007). However, these tables are usually not adapted to atypical population (children, elderly, obese, individual with prostheses, etc.) that are classically of interest. One option to estimate personalized BSIP consists in using identification techniques based on a dynamic model of the body and experimental data about a motion and external reaction forces. Previous studies showed the possibility to estimate ?base parameters?, i.e. linear relation between segmental inertial parameters. Although using these base parameters allowed reconstructing the external forces (Hansen et al. 2014), they cannot be used directly to perform analysis at the joint levels (e.g. inverse dynamics). Nevertheless, these base parameters could be used to personalize the BSIP estimated from AT. Although promising, this idea has only been evaluated in two recent studies (Jovic et al. 2016 and Bonnet et al. 2016). However, these studies either presented results for masses only (Jovic et al. 2016), or used a complex procedure to guide long lasting (7 min) exciting motions (Bonnet et al. 2016). This study thus aims at evaluating the possibility to use identification techniques to evaluate segmental BSIP in a classical human movement analysis framework.
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Dates et versions

hal-01769049 , version 1 (17-04-2018)

Identifiants

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Thomas Robert, Paul Leborgne, Mahdi Abid, Vincent Bonnet, Gentiane Venture, et al.. Whole body segment inertia parameters estimation from movement and ground reaction forces: a feasibility study. 42ième congrès de la Sociéte de Biomécanique francophone, Nov 2017, REIMS, France. pp. 175-176, ⟨10.1080/10255842.2017.1382919⟩. ⟨hal-01769049⟩
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