title: Toward an affordable and user-friendly visual motion capture system.
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).
authors.forename: V
authors.initials: V
authors.lastname: Bonnet
authors.forename: N
authors.initials: N
authors.lastname: Sylla
authors.forename: A
authors.initials: A
authors.lastname: Cherubini
authors.forename: A
authors.initials: A
authors.lastname: Gonzáles
authors.forename: C
authors.initials: C
authors.lastname: Azevedo Coste
authors.forename: P
authors.initials: P
authors.lastname: Fraisse
authors.forename: G
authors.initials: G
authors.lastname: Venture
mesh_terms: D000328:Adult; D001132:Arm / Q000502:physiology; D001696:Biomechanical Phenomena; D005260:Female; D018737:Hand Strength; D006801:Humans; D007596:Joints / Q000502:physiology*; D008297:Male; D009068:Movement; D010780:Photogrammetry / Q000191:economics* / Q000295:instrumentation*; D012984:Software; D014584:User-Computer Interface