Specific environment operator gait stability detection method and application

Abstract

The invention relates to a method for detecting the gait stability of a worker in a special environment and an application, and aims to construct a stop braking difficulty coefficient model, quantify the influence of each factor on special environment walking balance, and accurately judge the unbalance risk of the worker in the special environment in the special environment walking process. In the training process, the optimal gait, the optimal step speed and the optimal step length in the advancing process of the special-factor environment operating personnel can be selected, and the advancing stability of the special-factor environment operating personnel is improved. According to the method, the recovery of various gaits is evaluated, an optimal recovery mode is given, and the optimal recovery mode is adopted to train the special-cause environment operating personnel, so that the stability recovery capability of the special-cause environment operating personnel is improved; under the condition that the special environment operating personnel need multi-step braking, the optimal recovery mode prompt is output, and it is guaranteed that the special environment operating personnel recover the gait as soon as possible.

Description

Technical field [0001] The present invention relates to the field of aerospace engineering technology, in particular to a particularly dependent environment operator gait stability detection method and application. Background [0002] Among the various special environmental tasks, the special environment walking is a basic activity, and it is one of the most basic abilities of the special environment operators to perform the special environmental tasks. In the special environment, the low-gravity clothing and clothing seriously affect the movement and operation ability of the special environment operators, and the walking style, sports performance and balance of the special environmental operators are different from the ground walking. Due to the characteristics of clothing, the influence of factors such as the environment, the difficulty of walking in the environment is high, in addition, the environment is full of meteorites, ditches, slopes and other road conditions, which req...

AI Technical Summary

Problems solved by technology

For example, there have been many studies on the imbalance caused by slipping and falling. Researchers have analyzed the influence of factors such as shoe-ground friction coefficient and slope angle on the probability of slipping and falling. The slippery road surface is different, because the surface of the environment is sharp and small particles, the friction coefficient is large, and there is basically no slipping situation; in addition, there are some gait balance ability models for the elderly. There is a certain correlation, but the theoretical support between the evaluation indicators of this type of model and gait balance is not clear, and the falls of the elderly are counted in units of years, and the frequency of falls is quite different from walking in special environments, so it is difficult to Reference as an evaluation basis for special environment walking

Images