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摘要:The main manifestation of stroke patients is physical disorder,so physical rehabilitation treatment will also become a very important link.In order to solve this problem,we have researched and developed a physical rehabilitation detection system based on VIBE.System using existing large-scale motion capture data set(AMASS) and unpaired,the laboratory environment points 2 D note,by convolution neural network training out a preliminary training model,and then will recover limb disorders of the video input into a network testing,according to the result of parameter judge the body recovery degree of the patients.In addition,the attention mechanism is added in the network to better fit the movements of the body to achieve the real effect.Through the analysis of the test results of rehabilitation video,it is proved that this method has a good effect on the detection of limb rehabilitation.
会议名称:

The 2021 International Conference on Applied Mathematics, Modeling and Computer Simulation (AMMCS 2021)

会议时间:

2021-11-13

会议地点:

中国湖北武汉

  • 专辑:

    医药卫生科技; 信息科技

  • 专题:

    临床医学; 神经病学; 计算机软件及计算机应用; 自动化技术

  • DOI:

    10.26914/c.cnkihy.2021.069196

  • 分类号:

    R743.3;R496;TP183;TP391.41

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