4.5 Article

Concurrent assessment of gait kinematics using marker-based and markerless motion capture

Journal

JOURNAL OF BIOMECHANICS
Volume 127, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jbiomech.2021.110665

Keywords

Markerless motion capture; Gait analysis; Kinematics; Deep learning

Funding

  1. NSERC Canadian Graduate Scholarship

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The study compared the kinematics of human gait measured using a markerless motion capture system to those from a standard marker-based system, finding that the average root mean square distance between corresponding joint centers was small and the global segment pose estimates were very similar. This suggests that markerless motion capture systems could be a suitable alternative in practical applications.
Kinematic analysis is a useful and widespread tool used in research and clinical biomechanics for the quantification of human movement. Common marker-based optical motion capture systems are time intensive and require highly trained operators to obtain kinematic data. Markerless motion capture systems offer an alternative method for the measurement of kinematic data with several practical benefits. This work compared the kinematics of human gait measured using a deep learning algorithm-based markerless motion capture system to those from a standard marker-based motion capture system. Thirty healthy adult participants walked on a treadmill while data were simultaneously recorded using eight video cameras and seven infrared optical motion capture cameras, providing synchronized markerless and marker-based data for comparison. The average root mean square distance (RMSD) between corresponding joint centers was less than 2.5 cm for all joints except the hip, which was 3.6 cm. Lower limb segment angles relative to the global coordinate system indicated the global segment pose estimates from both systems were very similar, with RMSD of less than 5.5 degrees for all segment angles except those that represent rotations about the long axis of the segment. Lower limb joint angles captured similar patterns for flexion/extension at all joints, ab/adduction at the knee and hip, and toe-in/toe-out at the ankle. These findings indicate that the markerless system would be a suitable alternative technology in cases where the practical benefits of markerless data collection are preferred.

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