Digital Technologies Research and Applications

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Study on the Effect of Three-dimensional Reconstruction Technique Based on Human Gait Plantar Transient Data on Rehabilitation of Patients with Abnormal Foot Arch

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https://doi.org/10.54963/dtra.v3i1.200
Guo, S., Zhang, J., Liu, Q., Li , H., Wang, R., Fang, Q., Cai , H., Zou, H., & Li, J. (2024). Study on the Effect of Three-dimensional Reconstruction Technique Based on Human Gait Plantar Transient Data on Rehabilitation of Patients with Abnormal Foot Arch. Digital Technologies Research and Applications, 3(1), 1–15. https://doi.org/10.54963/dtra.v3i1.200
Volume 3 Issue 1: March 2024
Copyright (c) 2024 Siming Guo, Jun Zhang; Qi Liu; Hongyun Li , Rongjie Wang, Qianshan Fang, Haiyi Cai ; Hao Zou, Jinmu Li
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Authors

  • Siming Guo School of Binary Graduate, Binary University of Management and Entrepreneurship, Puchong 47100, Malaysia
  • Jun Zhang
    Shandong Key Laboratory of Eco-Environmental Science for Yellow River Delta, Shandong University of Aeronautics, Binzhou 256603, China
  • Qi Liu Intelligent Manufacturing Institute, Heilongjiang Academy of Sciences, Harbin 150000, China
  • Hongyun Li Quanzhou Vocational and Technical University, Quanzhou 362000, China
  • Rongjie Wang Quanzhou Vocational and Technical University, Quanzhou 362000, China
  • Qianshan Fang Quanzhou Vocational and Technical University, Quanzhou 362000, China
  • Haiyi Cai Quanzhou Vocational and Technical University, Quanzhou 362000, China
  • Hao Zou Quanzhou Vocational and Technical University, Quanzhou 362000, China
  • Jinmu Li School of Engineering, UCSI University, Kuala Lumpur 56000, Malaysia

This research employs non-contact plantar 3D data scanning and gait analysis methodologies to establish a rehabilitation assistance system tailored for foot arch anomalies. The system utilizes a non-contact plantar 3D data model to mitigate dysfunctions within the plantar skeletal-muscular system. Its objectives include facilitating personalized remote diagnosis of foot arch anomalies, enabling patients to monitor their rehabilitation progress, and supporting at-home rehabilitation efforts. A dataset comprising 124 cases of physiological foot arch anomalies in adults aged 18 and above was collected and analyzed. The findings demonstrate the system’s flexibility, high spatial resolution, personalization, and innovation. Notably, the system achieves real-time measurement of positive pressure and shear force distribution at the plantar interface, facilitates the construction of accurate geometric models, and yields high-quality plantar three-dimensional coordinate data. This research contributes theoretical and technical underpinnings for the application of footwork anomaly diagnosis and correction.

Keywords:

arch abnormality physical model 3D scanning gait recognition

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