Road Condition Recognition Method for Lower Limb Prosthesis Walking

Abstract

The invention provides a road condition identifying method for lower limb prosthesis walking and relates to lower limb prostheses. The method comprises the steps of using a front sole pressure sensor, a rear heel pressure sensor and an inertial measurement unit module to collect residual end movement signal sample data of a tested person, experimental road conditions including flat ground, upward slope, downward slope, upward stairs and downward stairs; selecting the starting point of road condition identifying time; at the moment starting to use the inertial measurement unit to collect the residual end movement signal sample data of the tested person; determining the number for practical use of the collected residual end movement signal sample data; processing the collected and calculated residual end movement signal sample data; calculating the characteristic valve of the collected residual end movement signal sample data; training with an LVQ-ADABOOST classifier; realizing online identification of the road conditions in lower limb prosthesis walking. The problem that the offline road condition identifying method for lower limb prosthesis walking cannot guarantee the instantaneity of road condition identification is solved.

Description

technical field [0001] The technical solution of the present invention relates to a lower limb prosthesis, in particular to a road condition recognition method when the lower limb prosthesis is walking. Background technique [0002] As we all know, my country is the most populous country in the world. With such a huge population base, the number of disabled people is also very large. The Chinese government conducted two national sample surveys on disabled persons in 1987 and 2006. The results showed that the number of physically disabled persons increased from 7.55 million in 1987 to 24.12 million in 2006. With the intensification of globalization, frequent traffic accidents and natural disasters, this number is still increasing year by year. As far as the current medical level is concerned, there is no technical means to regenerate lost limbs. Therefore, for these physically disabled people, wearing prosthetic limbs is an important way for them to restore their ability to ...

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a road condition recognition method for lower limb prosthesis walking, which is an online recognition method, which can identify the road condition of a gait cycle within 15% of a gait cycle, and effectively overcome the The defect that the existing off-line recognition method of road conditions when walking with lower limb prostheses cannot guarantee the real-time performance of road condition recognition

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