The efficacy of a video-based marker-less tracking system for gait analysis

(Die Wirksamkeit eines videobasierten markerlosen Trackingsystems für die Ganganalyse)

Most clinical gait analyses are conducted using motion capture systems which track retro-reflective markers that are placed on key landmarks of the participants. An alternative to a three-dimensional (3D) motion capture, marker-based, optical camera system may be a marker-less video-based tracking system. The aim of our study was to investigate the efficacy of the use of a marker-less tracking system in the calculation of 3D joint angles for possible use in clinical gait analysis. Ten participants walked and jogged on a treadmill and their kinematic data were captured with a marker and marker-less tracking system simultaneously. The hip, knee and ankle angles in the frontal, sagittal and transverse planes were computed. Root Mean Square differences (RMSdiff) between corresponding angles for each participant`s support phase were calculated and averaged to derive the mean within-subject RMSdiff. These within-subject means were averaged to obtain the mean between-subject RMSdiff for the relevant joint angles in the two gait conditions (walking and jogging). The RMSdiff between the two tracking systems was less than 1° for all rotations of the three joint angles of the hip and knee. However, there were slightly larger differences in the ankle joint angles. The results of this study suggest a potential application in gait analysis in clinical settings where observations of anatomical motions may provide meaningful feedback.
© Copyright 2017 Computer Methods in Biomechanics and Biomedical Engineering. Taylor & Francis. Alle Rechte vorbehalten.

Bibliographische Detailangaben
Schlagworte:
Notationen:Naturwissenschaften und Technik
Tagging:Ganganalyse
Veröffentlicht in:Computer Methods in Biomechanics and Biomedical Engineering
Sprache:Englisch
Veröffentlicht: 2017
Online-Zugang:http://doi.org/10.1080/10255842.2017.1334768
Jahrgang:20
Heft:10
Seiten:1089-1095
Dokumentenarten:Artikel
Level:hoch