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A new approach for motion capture using magnetic field : models, algorithms and first results
Author(s) -
Aloui Saifeddine,
Villien Christophe,
Lesecq Suzanne
Publication year - 2015
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2479
Subject(s) - motion capture , computer science , motion (physics) , wearable computer , context (archaeology) , field (mathematics) , algorithm , motion estimation , computer vision , motion field , artificial intelligence , mathematics , embedded system , paleontology , pure mathematics , biology
Summary Indoor and outdoor applications such as sports and health monitoring as well as realistic 3D movie and game animations require ambulatory motion capture. Thus, creating a new low‐cost light‐weight wearable motion capture system that offers realistic motion estimates is of great interest. This paper presents a new approach for ambulatory human motion capture, featuring a body mounted magnetic field source and magnetic field sensors together with an estimation algorithm. A complete study of the model, the hardware, and the estimation algorithms is presented. Results obtained in the context of motion capture of human upper limbs illustrate the proposed approach.Copyright © 2014 John Wiley & Sons, Ltd.