Toward an Affordable and User-Friendly Visual Motion Capture System

Vincent Bonnet; Nahéma Sylla; Andrea Cherubini; Alejandro González; Christine Azevedo Coste; Philippe Fraisse; Gentiane Venture

doi:10.1109/EMBC.2014.6944410

Toward an Affordable and User-Friendly Visual Motion Capture System

Vincent Bonnet ^{1, *} Nahéma Sylla ^{2, 3} Andrea Cherubini ³ Alejandro González ⁴ Christine Azevedo Coste ⁴ Philippe Fraisse ⁴ Gentiane Venture ¹

* Corresponding author

1 LABLAB - Laboratory of Locomotor Apparatus Bioengineering

2 PSA - PSA Peugeot - Citroën

3 IDH - Interactive Digital Humans

LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier

4 CAMIN - Control of Artificial Movement and Intuitive Neuroprosthesis

LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée

Abstract : The present study aims at designing and evaluating a low-cost, simple and portable system for arm joint angle estimation during grasping-like motions. The system is based on a single RGB-D camera and three customized markers. The automatically detected and tracked marker positions were used as inputs to an offline inverse kinematic process based on bio-mechanical constraints to reduce noise effect and handle marker occlusion. The method was validated on 4 subjects with different motions. The joint angles were estimated both with the proposed low-cost system and, a stereophotogrammetric system. Comparative analysis shows good accuracy with high correlation coefficient (r= 0.92) and low average RMS error (3.8 deg).

Document type :

Conference papers

Domain :

Engineering Sciences [physics]

Liste complète des métadonnées

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01006396
Contributor : Christine Azevedo Coste <>
Submitted on : Monday, June 16, 2014 - 8:40:59 AM
Last modification on : Friday, April 12, 2019 - 5:20:05 PM

Toward an Affordable and User-Friendly Visual Motion Capture System

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Toward an Affordable and User-Friendly Visual Motion Capture System

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