Abstract

At present, the molding process of domestic prosthetic sockets is still mainly made by hand. According to statistics, the number of various types of disabilities in my country has reached 85.02 million, of which more than 6 million are disabled in the lower limbs. Therefore, the installation of prosthetics has become an important means of compensating for missing limbs. , but the old process has many problems and is complicated and backward, heavy, poor performance, long production process cycle and not environmentally friendly, and the appearance is not beautiful. These problems can no longer meet the needs of patients in the current society. At the same time, during the "13th Five-Year Plan" period, rehabilitation medicine has become a key industry promoted by the country, and the rehabilitation appliance industry has also developed rapidly. With the promotion of policies and technologies, the market value and space of rehabilitation appliances have shown a good form. Therefore, the research of this project In line with the development trend of the times. This work proposes a personalized rehabilitation prosthetic 3D model construction system based on machine vision. In the era of artificial intelligence, the XTOM 3D scanner under machine vision scans the surface contour of the patient's stump to obtain its point cloud information. The first starting point is innovation, providing a data basis for socket design to improve scanning accuracy and find the most suitable socket structure. Finally, according to the individual needs of the user, the neural network is used to extract video features, analyze the most reasonable movement mode of the patient, and achieve the research on the combination of user behavior and product design, so as to analyze the force of the socket in the later stage. The part of the force analysis is innovated again. By adjusting the gravity distribution of the prosthesis, the angle of force, and the angle of the metal connector, the prosthesis printed by the 3D model for the subsequent industrial-grade 3D printer meets the patient's requirements.

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