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Gait phase recognition method and system based on plantar pressure

A technology of phase recognition and plantar pressure, applied in health index calculation, sensors, medical informatics, etc., can solve problems such as inaccuracy, and achieve the effect of simple acquisition and processing

Inactive Publication Date: 2019-10-11
THE QUARTERMASTER RES INST OF THE GENERAL LOGISTICS DEPT OF THE CPLA
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Problems solved by technology

Currently, due to the ease and practicality of measuring foot pressure, researchers have designed shoe-shaped sensors, and several systems for detecting gait phases have been proposed, including shoe integration for wireless gait analysis and real-time feedback sensor systems and gait phase detection systems, etc., however, these systems detect gait phases as discrete events, which are inaccurate in actual gait movements

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  • Gait phase recognition method and system based on plantar pressure
  • Gait phase recognition method and system based on plantar pressure
  • Gait phase recognition method and system based on plantar pressure

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[0036] The present invention will be described in detail below in conjunction with the accompanying drawings. However, it should be understood that the accompanying drawings are provided only for better understanding of the present invention, and they should not be construed as limiting the present invention.

[0037] A Hidden Markov Model (HMM) is a statistical model suitable for modeling continuous data. Formally, an HMM is defined as a doubly embedded stochastic process that has an unobservable undeniable process (it is hidden), but is only observable by another set of stochastic processes that generate the observed sequence. This means that the state behind the data generation process is hidden and can be inferred from observation.

[0038] Therefore, if figure 1 As shown, the gait phase recognition method based on plantar pressure provided by the invention comprises the following steps:

[0039] 1) Set pressure sensors at seven positions on the insole from the heel to ...

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Abstract

The invention relates to a gait phase recognition method and system based on plantar pressure. The method is characterized by comprising the following steps that 1) a plurality of pieces of ground reaction force data of normal gaits of a plurality of objects are obtained; 2) walking exercise data and joint angle data of each object are obtained; 3) according to the obtained walking exercise data and an established gait phase, a hidden Markov model is constructed; 4) a plurality of pieces of the ground reaction force data of the objects are taken as input values to solve the hidden Markov modelfor identifying the gait phase of each object. The gait phase recognition method and system based on the plantar pressure can be widely applied to the technical field of gait detection.

Description

technical field [0001] The invention relates to a gait phase recognition method and system based on plantar pressure, and belongs to the technical field of gait detection. Background technique [0002] With the development of biped robots, artificial limbs and the needs of rehabilitation training for injured people, online gait phase recognition methods are very important. There are many kinds of signals for judging gait phase. Generally speaking, the signals used in the study of gait phase are mainly surface muscle electrical signals, but the biological signals of the human body are weak and unstable, so signal acquisition and processing are very difficult. [0003] In the prior art, the identification of gait phase is based on the motion information of the upper and lower limbs, and the angular velocity of the shoulder joint and knee joint is obtained through the angle information processing system to judge the gait phase. However, this method requires more sensing devices...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/11A61B5/103A61B5/00G16H40/60G16H50/30G16H20/30
CPCA61B5/1038A61B5/112A61B5/1121A61B5/6807A61B5/72G16H20/30G16H40/60G16H50/30
Inventor 陈晓李茂辉
Owner THE QUARTERMASTER RES INST OF THE GENERAL LOGISTICS DEPT OF THE CPLA
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