The Three-Dimensional Visual Gaits Simulation Studies for the Disabled Athletes

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The paper carries research on the accurate modeling issue for the disabled athletes’ three-dimensional visual gaits. The three-dimensional visual gaits are important gait features when the disabled athletes are walking which have some regularity. However the features present in a mess. The traditional three-dimensional visual gaits model based on visual images don’t consider the messy problems in the gait feature resulting in lower dimensional simulation fidelity. This paper proposes a three-dimensional visual gait modeling method using the human dynamics which can obtain the body features of the three-dimensional visual gaits by analyzing the periodic features of the gaits. The experimental results show that the model can quickly and accurately emulate the three-dimensional visual gaits for the disabled athletes with higher fidelity and lower errors.

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4547-4550

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May 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] AN XW, ZHANG XB, YIN HCH. The research of Three-Dimensional medical image reconstruction[J]. Journal of Electron Devices, 2001, 3: 207-212.

Google Scholar

[2] Barbara Zitová, Jan Flusser. Image registration methods: a survey[J]. Image and Vision Computing: 2003, 21(11): 977-1000.

DOI: 10.1016/s0262-8856(03)00137-9

Google Scholar

[3] Islam MN, Yamanoto T, Wakita M. Light and electron microscopic study of the initial attachment of principal fibers to the alveolar bone surface in rat molars[J]. J Periodont Res: 2000, 35: 344-351.

DOI: 10.1034/j.1600-0765.2000.035006344.x

Google Scholar

[4] Ghosh Kuntal, Sarkar Sandip, Bhaumik Kamales. A theory of fuzzy, edge detection in the light of human visual system [J]. Journal of Intelligent Systems, 2008, 17(1): 229– 246.

DOI: 10.1515/jisys.2008.17.1-3.229

Google Scholar

[5] Selesnick, I.W., A new complex-directional wavelet transform and its application to image denoising[J].  IEEE CNF, Image Processing. 2002. Proceedings. , 2002, 3 : 573 – 576.

DOI: 10.1109/icip.2002.1039035

Google Scholar