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

Alex Ong, Ian Sujae Harris and Joseph Hamill

Computer Methods in Biomechanics and Biomedical Engineering, 2017, vol. 20, issue 10, 1089-1095

Abstract: 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.

Date: 2017
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DOI: 10.1080/10255842.2017.1334768

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