A gait simulation system and method based on deep learning

Abstract

The invention discloses a gait simulation system based on deep learning, which includes a central processing module, the central processing module realizes a bidirectional connection with a data program extraction module, and the data program extraction system realizes a bidirectional connection with a networked information database, the data The program extraction module includes an extraction command processing module, a program group model recognition module, a program group model analysis module and a program group model sending module, the output of the extraction command processing module is connected with the input terminal of the program group model identification module, and involves gait Analog technology field. The gait simulation system and method based on deep learning have greatly improved the intelligence of the gait simulation system, realized the deep learning of the entire gait simulation system through networked big data, and achieved different gaits for external recognition The purpose of intelligent learning and imitation greatly facilitates people to use gait simulation equipment for gait correction or rehabilitation training.

Description

technical field [0001] The invention relates to the technical field of gait simulation, in particular to a gait simulation system and method based on deep learning. Background technique [0002] Human research on gait analysis has started more than 300 years ago. There have been many sub-branches in the field of gait analysis, which are still under development. At the same time, plantar pressure analysis is also used in many fields, such as Biomechanics, orthopedic surgery, rehabilitation medicine, etc., the plantar pressure analysis of normal people can not only give us a deeper understanding of the gait of normal people, but also provide a normal baseline standard for the analysis of plantar pressure on pathological feet Based on this, a large number of gait information collection products, foot movement correction products, sports rehabilitation equipment, smart shoes and other products have been derived. However, the adjustment or change of human gait is affected by many...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the existing technology, the present invention provides a gait simulation system and method based on deep learning, which solves the problem that the existing gait simulation system has a low degree of intelligence and cannot realize the whole gait simulation through networked big data. The simulation system is capable of deep learning, but cannot achieve the purpose of intelligent learning and imitation of different stances recognized by the outside world

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