Literature DB >> 22255495

Depth Energy Image for gait symmetry quantification.

Caroline Rougier1, Edouard Auvinet, Jean Meunier, Max Mignotte, Jacques A de Guise.   

Abstract

This paper introduces a new quantification method for gait symmetry based on depth information acquired from a structured light system. First, the new concept of Depth Energy Image is introduced to better visualize gait asymmetry problems. Then a simple index is computed from this map to quantify motion symmetry. Results are presented for six subjects with and without gait problems. Since the method is markerless and cheap, it could be a very promising solution in the future for gait clinics.

Mesh:

Year:  2011        PMID: 22255495     DOI: 10.1109/IEMBS.2011.6091272

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  A perceptual map for gait symmetry quantification and pathology detection.

Authors:  Antoine Moevus; Max Mignotte; Jacques A de Guise; Jean Meunier
Journal:  Biomed Eng Online       Date:  2015-10-29       Impact factor: 2.819

  1 in total

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