New abnormal gait analysis method and system

Abstract

The invention discloses a new abnormal gait analysis method and system. The method comprises steps that S1, a moving human target is tracked, footprints of three consecutive steps in an image are corrected to acquire the image pixel position (ui<M>, vi<M>) of the corrected footprints in a straight line; S2, according to the image pixel position (ui<M>, vi<M>) of the corrected footprints, the observation distance of two adjacent corrected footprints in the image and observation step size ratios A and B between two adjacent steps after correction are calculated; S3, step sizes of an unilateral leg are supposed to be basically identical, namely L3<Real>=L1<Real>, and the ratio of the actual step size L2<Real> of a second step to the actual step size L1<Real> of a first step is calculated; andS4, clustering statistics of adjacent step size ratios of a monitored object is carried out, and the real-time adjacent step size ratio of the monitored object is compared with a clustering center ofthe clustering result. The method is advantaged in that the application scope is wider, the method is suitable for general straight line conditions, compared with a no-correction gait method and an MGM system, estimation accuracy of the adjacent step size ratio is higher, and the error is reduced.

Description

technical field [0001] The invention relates to a new abnormal gait analysis method and system, belonging to the technical field of health monitoring. Background technique [0002] In recent years, with the aging of the population, the increasing number of sub-healthy people, and the gradual improvement of people's awareness of medical care, people's needs for elderly care, chronic disease care, sub-health care and emergency first aid have become more and more urgent. Intelligent monitoring and analysis of the health status of people has become a worldwide focus. Gait, as an important feature reflecting human health status and behavioral ability, has attracted much attention in clinical research such as medical diagnosis and disease prevention. At present, most of the analysis and inspection of gait rely on professional medical personnel, and the walking ability is mainly evaluated by observing the completion of the specified walking action on the specified route. [0003]...

AI Technical Summary

Problems solved by technology

However, in this plan, it is only applicable when three consecutive steps must fall on the same straight line. It is on a straight line, so the application of this technology is limited; and even in practical applications, it is considered that three consecutive steps fall on the same straight line, the obtained adjacent step ratio and the final abnormal gait analysis The accuracy of the results still needs to be improved

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