Gait phase distinguishing method based on lower limb joint movement information

Abstract

The invention provides a gait phase distinguishing method based on lower limb joint movement information. The phase distinguishing method based on the lower limb joint movement information includes receiving angle information by angle sensors on the portion of thighs, cruses and foot faces; obtaining a lower limb joint movement parameter through an angle information processing system, particularly including angle information of knee joints and ankle joints, and angle speed information of the knee joints; obtaining gait phase of existing lower limbs by judging angle mark positions and angle speed of the knee joints. The angle information is collected by the three angle sensors which are arranged on the thighs, the cruses and the foot faces, so that phase judgment on the lower limbs is completed. The phase distinguishing method based on the lower limb joint movement information can simply, conveniently, and accurately judge the gait phase of the lower limbs, and improves control rapidity and accuracy of an artificial limn knee joint.

Description

technical field [0001] The invention relates to the control of knee joint motion of intelligent prosthesis, in particular to a gait phase discrimination method based on the motion information of lower limb joints. Background technique [0002] Car accidents, diseases, etc. have caused more and more people to lose their lower limbs, and at the same time they have lost the ability to walk and exercise. Lower limb prostheses are the only means for this group of people to recover their walking ability. The ideal prosthesis would provide comfort and natural movement for the prosthetic wearer without expending too much energy. However, the movement of the human body is extremely complex. Accurately simulating the walking of a normal human body has become the research focus of lower limb prostheses. [0003] Intelligent prosthetics are a new generation of high-performance prosthetics developed after the 1990s. Compared with ordinary prostheses, intelligent prostheses can judge th...

AI Technical Summary

Problems solved by technology

Both of these two methods need to use a large number of sensors, including angle sensors, pressure sensors, gyroscopes, etc., and use the information detected by these sensors and their first-order or second-order derivative information to judge the gait phase of the prosthesis. The system installation is complicated. The amount of calculation is large, resulting in poor real-time performance

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