Validation of a Markerless Motion Capture System for Human Movement Analysis

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URL: http://hdl.handle.net/1974/28019

Abstract

Three-dimensional human movement analysis is a widely used tool in clinical and research biomechanics to provide comprehensive 3D representations and quantification of individuals’ movement patterns, particularly gait. Marker-based optical motion capture is the current ‘gold standard’ for performing human movement analyses; however, these systems have several inherent issues that affect the accuracy and reliability of their data and limit the environments in which data can be collected. Markerless motion capture is a quickly evolving technology that has the potential to eliminate many of the issues associated with marker-based motion capture. This research aims to validate a deep neural network-based markerless motion capture system, Theia3D, against a current field-accepted marker-based motion capture system for human gait. Three studies were undertaken towards the validation of this technology: (i) a comparison of time- and distance-based gait parameter measurements obtained simultaneously by the markerless and marker-based motion capture systems; (ii) a comparison of kinematic measurements obtained simultaneously by both systems; and (iii) a multi-session study of the repeatability of kinematic measurements obtained by the markerless motion capture system. The results of these studies indicate that this markerless motion capture system can measure time- and distance-based gait parameters and gait kinematics with sufficient accuracy for use in research and clinical applications, and the kinematic measurements were more reliable than those previously reported for ‘gold standard’ marker-based motion capture systems. These findings indicate the markerless motion capture system is sufficiently accurate and reliable for use in clinical and research biomechanics and can potentially reduce the limitations previously associated with performing human movement analysis.

Cited Works (13)

Year	Entry
2002	Wu G, Siegler S, Allard P, Kirtley C, Leardini A, Rosenbaum D, Whittle M, D'Lima DD, Cristofolini L, Witte H, Schmid O, Stokes I. ISB recommendation on definitions of joint coordinate system of various joints for the reporting of human joint motion, I: ankle, hip, and spine. J Biomech. 2002;35(4):543-548.
2005	Wu G, van der Helm FCT, Veeger HEJ, Makhsous M, Van Roy P, Anglin C, Nagels J, Karduna AR, McQuade K, Wang X, Werner FW, Buchholz B. ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion, II: shoulder, elbow, wrist and hand. J Biomech. May 2005;38(5):981-992.
2010	Andersen MS, Benoit DL, Damsgaard M, Ramsey DK, Rasmussen J. Do kinematic models reduce the effects of soft tissue artefacts in skin marker-based motion analysis? an in vivo study of knee kinematics. J Biomech. January 19, 2010;43(2):268-273.
2005	Cappozzo A, Della Croce U, Leardini A, Chiari L. Human movement analysis using stereophotogrammetry, I: theoretical background. Gait Post. February 2005;21(2):186-196.
2008	Astephen JL, Deluzio KJ, Caldwell GE, Dunbar MJ. Biomechanical changes at the hip, knee, and ankle joints during gait are associated with knee osteoarthritis severity. J Orthop Res. March 2008;26(3):332-341.
2007	Riley PO, Paolini G, Della Croce U, Paylo KW, Kerrigan DC. A kinematic and kinetic comparison of overground and treadmill walking in healthy subjects. Gait Post. 2007;26(1):17-24.
2005	Leardini A, Chiari L, Della Croce U, Cappozzo A. Human movement analysis using stereophotogrammetry, III: soft tissue artifact assessment and compensation. Gait Post. February 2005;21(2):212-225.
1986	Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. February 8, 1986;327(8476):307-310.
2007	Harrington ME, Zavatsky AB, Lawson SEM, Yuan Z, Theologis TN. Prediction of the hip joint centre in adults, children, and patients with cerebral palsy based on magnetic resonance imaging. J Biomech. 2007;40(3):595-602.
2006	Benoit DL, Ramsey DK, Lamontagne M, Xu L, Wretenberg P, Renström P. Effect of skin movement artifact on knee kinematics during gait and cutting motions measured in vivo. Gait Post. October 2006;24(2):152-164.
2005	Della Croce U, Leardini A, Chiari L, Cappozzo A. Human movement analysis using stereophotogrammetry, IV: assessment of anatomical landmark misplacement and its effects on joint kinematics. Gait Post. February 2005;21(2):226-237.
1998	Novacheck TF. The biomechanics of running. Gait Post. January 1998;7(1):77-95.
2008	Zeni JA Jr, Richards JG, Higginson JS. Two simple methods for determining gait events during treadmill and overground walking using kinematic data. Gait Post. May 2008;27(4):710-714.