A position based kinematic method for the analysis of human gait |
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Authors: | Ahn Ryul Choi Yong Hoon Rim Youn Soo Kim Joung Hwan Mun |
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Affiliation: | (1) Department of Bio-Mechatronic Engineering, College of Life Science & Technology, Sungkyunkwan University, 300 Chunchun, Jangan, Suwon, 440-746 Kyunggi, Korea;(2) Department of Orthopedic Surgery, Holly Family Hospital, Catholic University of Korea, Sosa, Wonmi. Pucheon, 420-717 Kyunggi, Korea;(3) Department of Bio-Mechatronic Engineering, College of Life Science & Technology, Sungkyunkwan University, 300 Chunchun, Jangan, Suwon, 440-746 Kyunggi, Korea |
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Abstract: | Human joint motion can be kinematically described in three planes, typically the frontal, sagittal, and transverse, and related
to experimentally measured data. The selection of reference systems is a prerequisite for accurate kinematic analysis and
resulting development of the equations of motion. Moreover, the development of analysis techniques for the minimization of
errors, due to skin movement or body deformation, during experiments involving human locomotion is a critically important
step, without which accurate results in this type of experiment are an impossibility. The traditional kinematic analysis method
is the Angular-based method (ABM), which utilizes the Euler angle or the Bryant angle. However, this analysis method tends
to increase cumulative errors due to skin movement. Therefore, the objective of this study was to propose a new kinematic
analysis method, Position-based method (PBM), which directly applies position displacement data to represent locomotion. The
PBM presented here was designed to minimize cumulative errors via considerations of angle changes and translational motion
between markers occurring due to skin movements. In order to verify the efficacy and accuracy of the developed PBM, the mean
value of joint dislocation at the knee during one gait cycle and the pattern of three dimensional translation motion of the
tibiofemoral joint at the knee, in both flexion and extension, were accessed via ABM and via new method, PBM, with a Local
Reference system (LRS) and Segmental Reference system (SRS), and then the data were compared between the two techniques. Our
results indicate that the proposed PBM resulted in improved accuracy in terms of motion analysis, as compared to ABM, with
the LRS and SRS. |
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Keywords: | Gait Analysis Skin Movement Human Motion Knee Joint Euler Angle Bryant Angle Kinematic |
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