Analysis of Human Gait Bilateral Symmetry for Functional Assessment after an Orthopaedic Surgery
We proposed a color marker based computer vision system which can provide temporal-spatial and kinematic information of human gait. This system provides quantitative gait pattern information for clinicians to evaluate the rehabilitation progress of the patients who had undertaken total knee replacement (TKR) and/or total hip replacement (THR) surgeries. The symmetry between left leg and right leg is a very useful feature for this evaluation purpose. To calculate this parameter, we introduced a new curve feature to describe the gait pattern. This curve feature serves as people’s walking signature. The symmetry is denoted by dynamic time warping (DTW) distance of this walking signature. Through experiments, we demonstrate the effectiveness of the proposed system.
Keywordsgait pattern symmetry dynamic time warping
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- 1.Gross, A.: Report of the Total Hip and Knee Joint Replacement Expert Panel, http://www.health.gov.on.ca
- 3.Weir, R.F., Childress, D.S.: Portable Devices for the Clinical Measurement of Gait Performance and Outcomes. In: Proceedings of the 22nd Annual EMBS International Conference, Chicago IL (2000)Google Scholar
- 4.Lee, H., Guan, L., Burne, J.A.: Human Gait and Posture Analysis for Diagnosing Neurological Disorders. In: International Conference on Image Processing, vol. 2, pp. 435–438 (2000)Google Scholar
- 10.Kuzmanic, A., Zanchi, V.: Hand shape classification using DTW and LCSS as similarity measures for vision-based gesture recognition system. In: EUROCON 2007, The International Conference on Computer as a Tool, pp. 264–269 (2007)Google Scholar
- 11.Munich, M.E., Perona, P.: Continuous Dynamic Time Warping for Translation-Invariant Curve Alignment with Applications to Signature Verification. In: Proceedings of 7th International Conference on Computer Vision, vol. 1, pp. 108–115 (1999)Google Scholar
- 12.Wang, J., Makihara, Y., Yagi, Y.: Human Tracking and Segmentation Supported by Silhouette-based Gait Recognition. In: IEEE International Conference on Robotics and Automation, pp. 1698–1703 (2008)Google Scholar