Artificial limb movement intention identification method and device based on source-end fusion

Abstract

The present invention discloses an artificial limb movement intention identification method and device based on source-end fusion. A processor collects ground bearing reaction force distribution condition through a pressure sensor arranged on soles of artificial limbs, judges gait cycles and calculates walking speed; road conditions of walking on a flat ground, going upstairs, going up a slope, going downstairs and going down a slope are distinguished through data acquired by an acceleration sensor arranged at artificial limb knee joint positions; going upstairs, going up a slope, going downstairs and going down a slope are distinguished by combining an angle sensor data of artificial foot ankle joint positions, and finally a processor judges movement intention of amputees according to walking speed and road conditions. According to the walking speed and road conditions, the processor controls artificial limbs to change actions according to the walking speed and road conditions, helpsthe artificial limbs to accurately make corresponding action, enables the amputees not need to exert force to change the actions of the artificial limbs, saves more labor of the amputees during use processes of the artificial limbs, and also enables the gait cycles to be more natural.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to a source-end fusion-based prosthesis movement intention recognition method and device thereof. Background technique [0002] With the development of society and the improvement of living standards, amputees have higher and higher requirements for intelligent prostheses. Simple walking and standing can no longer meet the requirements of amputees. Amputees also need intelligent prostheses that can recognize their movement intentions. According to Different pace, different road conditions to adjust the gait. In order to realize that the intelligent prosthesis can adjust the gait according to the pace and road conditions, the intelligent prosthesis must be able to recognize information such as pace and road conditions, and accurately identify the movement intention of the amputee. Therefore, the recognition of movement intention is of great significance for imp...

AI Technical Summary

Problems solved by technology

However, the method of calculating and analyzing motion intentions using gyroscopes and acceleration sensors needs to calculate and analyze the collected data through sensor fusion algorithms and hidden Markov models to obtain the possibility of each road condition, and then determine the most likely road condition as the current road condition. Road conditions, this method cannot determine the exact road conditions 100%, due to the limitations of the algorithm, the accuracy rate of judgment can only reach 90%

Moreover, this identification method requires the establishment of a complex database in the early stage, and complex processing and calculation of sensor data is also required in the later use process. The algorithm is complex and it is easy to make mistakes in judgment.

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