Design and implementation of virtual training and rehabilitation system for upper limb based on visual motion recognition of digital

Guixia Zhang; Yanhua Zhang; Chengjing Zhai

doi:10.1117/12.2660322

3 February 2023 Design and implementation of virtual training and rehabilitation system for upper limb based on visual motion recognition of digital

Guixia Zhang, Yanhua Zhang, Chengjing Zhai

Author Affiliations +

Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125111G (2023) https://doi.org/10.1117/12.2660322
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China

Abstract

Based on the combination of digital animation technology and virtual reality technology, this study will further expand the application of digital animation technology in medical treatment and rehabilitation training, and complete the design and implementation of virtual training and rehabilitation system for upper limbs. The system will comprehensively utilize Maya and Unity3D software to build a virtual training and rehabilitation project of upper limbs in the form of digital animation, and rely on VR technology to transform it into a virtual training scene with high immersion, high accuracy and high interest, so as to solve the tedious problem of traditional training process. At the same time, with the help of the visual motion recognition function of Kinect somatosensory device, the accuracy data of patients' training movements will be obtained through the joint coordinate point sequence recognition algorithm and DTW movement similarity algorithm, which will provide necessary data support for the rehabilitation process of upper limb motor dysfunction. In addition, the whole system adopts C# language in ASP.NET environment to complete the design and encapsulation of API interfaces and functional modules of the system, and helps doctors to complete their daily work with flexible application forms and convenient system operation, which promotes the construction and development of digital medical treatment while improving the effect of rehabilitation training.

Citation Download Citation

Guixia Zhang, Yanhua Zhang, and Chengjing Zhai "Design and implementation of virtual training and rehabilitation system for upper limb based on visual motion recognition of digital", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125111G (3 February 2023); https://doi.org/10.1117/12.2660322

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