Gait analysis method based on plantar pressure

Abstract

The invention relates to a gait analysis method based on a plantar pressure. The gait analysis method comprises the steps of: (1) collecting plantar pressure signals through four pressure sensors; (2) carrying out gait phase analysis for the collected plantar pressure signals, comparing the total value of pressures collected by the four pressure sensors with a preset threshold value, the planta is in a swing phase when the total value of the pressures collected by the four pressure sensors is less than the preset threshold value, otherwise, the planta is in a supporting phase; (3) judging whether the gait phase analysis result is switched with the previous gait phase analysis result or not according to the plantar pressure signals, and entering into the next step at the point in time if the switching of gait phases happens; (4) carrying out an lower limb movement mode analysis based on the gait phases within the switching time of the gait phases; and (5) judging whether the gait analysis needs to be stopped or not according to a lower limb movement mode analysis result, and returning to the step (1) if not. The gait analysis method based on the plantar pressure, disclosed by the invention, can supply abundant human body movement information for the control of intelligent lower artificial limbs, and can be widely applied to the field of gait mode recognition.

Description

Technical field [0001] The invention relates to the field of gait pattern recognition, in particular to a gait analysis method based on plantar pressure. Background technique [0002] With the aging of China's population structure in recent years, natural disasters and safety accidents have occurred frequently, and the number of lower limb disabilities has gradually increased. As an important tool for amputees to regain part of their ability to live, prostheses have been widely used. With the development of new technologies, people are no longer satisfied with traditional lower limb prostheses that can only play a supporting role and enhance aesthetics. Intelligent lower limb prostheses are becoming a hot spot in rehabilitation research. Intelligent lower limb prostheses can recognize human movement trends based on human biological signals and external environmental information, and replace missing limbs to achieve normal walking. As the interaction between the human body and t...

AI Technical Summary

Problems solved by technology

The biggest disadvantage of human biological signals is that the signal is weak and unstable, so no matter the signal acquisition, processing or analysis, it is very complicated.

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