Intelligent foot correction customization method and system based on biomechanics
A biomechanical and foot technology, applied in informatics, medical simulation, medical science, etc., can solve the problems of accurate detection and analysis, small number of professionals, and difficulty in professional training, saving human resources, reducing detection time, The effect of optimizing the user experience
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Embodiment 1
[0049] Such as figure 1 As shown, the present embodiment provides a biomechanics-based intelligent foot correction custom method, the method includes the following steps:
[0050] S1. The 3D foot scanner collects personal static foot data and uploads it to the cloud server.
[0051] Personal static foot data include but not limited to foot length, foot width, heel width, foot arch length, 1st-5th metatarsal width, inner arch height, and outer arch height.
[0052] S2. The gait detector collects the gait parameters of the individual during walking and uploads them to the cloud server.
[0053] The gait detector includes a motion sensor module, a pressure sensor module, and a wireless communication module. The gait parameters collected by the gait detector include but are not limited to exercise time, number of steps, stride length, step height, and gait cycle.
[0054] In this step, manual detection by professional technicians is replaced by intelligent detection by instrumen...
Embodiment 2
[0069] Such as figure 2 As shown, this embodiment provides a biomechanics-based intelligent foot correction customization system for implementing the biomechanics-based foot intelligent correction customization method in Embodiment 1. The system includes a cloud server 1, a detection module 2, Analysis module 3, 3D printing key model library 4, 3D printing module 5, follow-up module 6.
[0070] The cloud server includes a storage unit 11 , a computing unit 12 , a matching and screening unit 13 , and a remote command unit 14 . Storage unit 11 is used to store personal foot data and gait parameters; calculation unit 12 is used to extract and calculate foot and gait characteristic data; matching screening unit 13 is used to filter and The key model for matching personal foot and gait data; the remote command unit 14 is used to control the 3D printing module to connect to the 3D printer for production.
[0071] The detection module 2 is used to collect personal static foot data...
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