title: Depth Energy Image for gait symmetry quantification.
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.
authors.affiliation: Département d’Informatique et de Recherche Opérationnelle, Université de Montréal, Montréal, Canada. rougierc@iro.umontreal.ca
authors.forename: Caroline
authors.initials: C
authors.lastname: Rougier
authors.forename: Edouard
authors.initials: E
authors.lastname: Auvinet
authors.forename: Jean
authors.initials: J
authors.lastname: Meunier
authors.forename: Max
authors.initials: M
authors.lastname: Mignotte
authors.forename: Jacques A
authors.initials: JA
authors.lastname: de Guise
mesh_terms: D000465:Algorithms; D005684:Gait / Q000502:physiology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D007259:Infrared Rays; D008029:Lighting / Q000379:methods*; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014741:Video Recording / Q000379:methods; D051598:Whole Body Imaging; D055815:Young Adult