Key Technologies And Applications Of Human Gait Feature Recognition

At present,the research and application of gait feature recognition need to be further improved in multi-modal because of the influence of scene,carried objects and other factors.Therefore,for different application problems,this paper designs a multi scene technology implementation method based on dynamic and static gait feature fusion1.For the data preprocessing part,with the help of the moving average filter,the problem of data loss or unreal is prevented on the basis of maintaining the original waveform characteristics of the signal.Firstly,this paper introduces the research and application status of human gait recognition technology in detail,analyzes the characteristics of human gait cycle,compares several commonly used human gait recognition methods,such as frame difference method,optical flow method,background subtraction method,etc.,and reasonably selects the acquisition platform and sensors for data denoising,fidelity processing and other operations.2.Aiming at human gait feature extraction,an effective recognition model is proposed through feature value fusion,which realizes high-precision extraction of human gait feature.This paper analyzes the characteristics of human gait in dynamic and static state,and puts forward the technology of gait feature extraction and recognition,which is the innovation of this paper.After comparing the advantages and disadvantages of the static and dynamic gait recognition methods,a dynamic and static gait feature fusion algorithm based on matching layer is designed to optimize the traditional feature extraction scheme.Finally,13 kinds of feature values can be fused to form a set of feature vectors,which reduces the reaction time of the system and ensures the accuracy of gait feature recognition.In addition,DTW algorithm is used to solve the problem that these gait features are not unified in time,so as to ensure that all gait features are in the same time dimension.An effective recognition model is established to recognize human gait features in various scenes.3.In different outdoor scenes and environments,the application experiments of two groups of human gait in multiple scenes verify the effective recognition results of the technology application,and achieve the effect of high recognition rate.At the same time,the human gait feature recognition system in this paper can also recognize the abnormal gait state.Through the comparative test of abnormal gait and normal gait,it is proved that the human gait recognition technology has great practical application value,and it can also provide reference for the intelligent terminal gait recognition technology and application.