Estimating the position of the bones from optical motion capture data is a challenge associated with human movement analysis. Bone pose estimation techniques such as the Point Cluster Technique (PCT) and simulations of movement through software packages such as OpenSim are used to minimize soft tissue artifact and estimate skeletal position; however, using different methods for analysis may produce differing kinematic results which could lead to differences in clinical interpretation such as a misclassification of normal or pathological gait. This study evaluated the differences present in knee joint kinematics as a result of calculating joint angles using various techniques. We calculated knee joint kinematics from experimental gait data using the standard PCT, the least squares approach in OpenSim applied to experimental marker data, and the least squares approach in OpenSim applied to the results of the PCT algorithm. Maximum and resultant RMS differences in knee angles were calculated between all techniques. We observed differences in flexion/extension, varus/valgus, and internal/external rotation angles between all approaches. The largest differences were between the PCT results and all results calculated using OpenSim. The RMS differences averaged nearly 5° for flexion/extension angles with maximum differences exceeding 15°. Average RMS differences were relatively small (< 1.08°) between results calculated within OpenSim, suggesting that the choice of marker weighting is not critical to the results of the least squares inverse kinematics calculations. The largest difference between techniques appeared to be a constant offset between the PCT and all OpenSim results, which may be due to differences in the definition of anatomical reference frames, scaling of musculoskeletal models, and/or placement of virtual markers within OpenSim. Different methods for data analysis can produce largely different kinematic results, which could lead to the misclassification of normal or pathological gait. Improved techniques to allow non-uniform scaling of generic models to more accurately reflect subject-specific bone geometries and anatomical reference frames may reduce differences between bone pose estimation techniques and allow for comparison across gait analysis platforms.
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November 2011
Technical Briefs
Comparative Assessment of Bone Pose Estimation Using Point Cluster Technique and OpenSim
Rebecca L. Lathrop,
Rebecca L. Lathrop
Department of Mechanical and Aerospace Engineering,
The Ohio State University
, Columbus, OH 43210
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Ajit M. W. Chaudhari,
Ajit M. W. Chaudhari
Department of Mechanical and Aerospace Engineering,
The Ohio State University
, Columbus, OH 43210; Department of Orthopaedics, The Ohio State University, Columbus, OH 43210
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Robert A. Siston
Robert A. Siston
Department of Mechanical and Aerospace Engineering,
e-mail: siston.1@osu.edu
The Ohio State University
, Columbus, OH 43210; Department of Orthopaedics, The Ohio State University, Columbus, OH 43210
Search for other works by this author on:
Rebecca L. Lathrop
Department of Mechanical and Aerospace Engineering,
The Ohio State University
, Columbus, OH 43210
Ajit M. W. Chaudhari
Department of Mechanical and Aerospace Engineering,
The Ohio State University
, Columbus, OH 43210; Department of Orthopaedics, The Ohio State University, Columbus, OH 43210
Robert A. Siston
Department of Mechanical and Aerospace Engineering,
The Ohio State University
, Columbus, OH 43210; Department of Orthopaedics, The Ohio State University, Columbus, OH 43210e-mail: siston.1@osu.edu
J Biomech Eng. Nov 2011, 133(11): 114503 (6 pages)
Published Online: November 28, 2011
Article history
Received:
August 4, 2011
Revised:
October 28, 2011
Posted:
October 31, 2011
Published:
November 28, 2011
Online:
November 28, 2011
Citation
Lathrop, R. L., Chaudhari, A. M. W., and Siston, R. A. (November 28, 2011). "Comparative Assessment of Bone Pose Estimation Using Point Cluster Technique and OpenSim." ASME. J Biomech Eng. November 2011; 133(11): 114503. https://doi.org/10.1115/1.4005409
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