Artificial limb control system and method with energy recovery and gait recognition functions

A technology of gait recognition and energy recovery, applied in character and pattern recognition, neural learning methods, prostheses, etc., can solve the problems of reduced battery life of prosthetics, and achieve the effects of good adaptability, easy acquisition, and extended battery life

Pending Publication Date: 2022-08-02
UNIV OF SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Just as the patent document CN107536613A discloses a robot and its lower limb gait recognition device and method, but at the same time, most prosthetics have little energy recovery function, which reduces the battery life of the prosthetics

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  • Artificial limb control system and method with energy recovery and gait recognition functions
  • Artificial limb control system and method with energy recovery and gait recognition functions
  • Artificial limb control system and method with energy recovery and gait recognition functions

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Embodiment Construction

[0061] The present invention will be described in detail below with reference to specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that, for those skilled in the art, several changes and improvements can be made without departing from the inventive concept. These all belong to the protection scope of the present invention.

[0062] The present invention provides a prosthetic limb control system with energy recovery and gait recognition functions of the present invention, which includes an energy recovery module, a gait recognition module, a motion control module and a structural component. The gait recognition module is mainly used for gait recognition, modeling the motion state of the lower limbs in daily life through the angle information at the knee and ankle joints, and then using the self-organizing competitive neural network t...

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Abstract

According to the artificial limb control system and method with the energy recovery and gait recognition functions, gait recognition is conducted through angle signals, data collection is convenient, the adopted self-organizing competitive neural network can be clustered, network parameters of the self-organizing competitive neural network can be obtained through off-line training and can also be adjusted through on-line learning, and the system and the method have the advantages of being simple in structure, convenient to operate and high in practicability. Compared with a BP self-organizing competitive neural network, the self-adaptive ability is higher, the learning rule is not gradient descent, and the probability of falling into a local minimum value is greatly reduced. The energy recovery module is simple in structure, easy to implement and capable of reducing cost and energy consumption.

Description

technical field [0001] The invention relates to the field of control of lower limb prosthetics, in particular to a prosthetic limb control system and method with energy recovery and gait recognition functions, in particular to a lower limb prosthetic limb control system with energy recovery function and gait recognition function and the same Implementation method of lower limb robot. Background technique [0002] Due to diseases, safety accidents and other reasons, the number of patients with lower limb amputees is increasing year by year, which has caused a great burden to the patient's family and society. The installation of prosthetics can restore the mobility of lower limb amputees. The traditional mechanical prosthesis has no power assist function and can only work normally under the driving of the human body. The intelligent lower limb prosthesis can identify the motion intention of the lower limbs of the human body according to various sensor information, automatical...

Claims

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Application Information

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IPC IPC(8): A61F2/70A61F2/64A61F2/66G06K9/00G06K9/62G06N3/04G06N3/08
CPCA61F2/68A61F2/64A61F2/6607G06N3/04G06N3/08A61F2002/701A61F2002/6827A61F2002/702G06F2218/02G06F2218/12G06F18/2414
Inventor 李智军洪舟洋李国欣卞世元
Owner UNIV OF SCI & TECH OF CHINA
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