基于足底压力分布的静态步态识别研究论文.docx

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安徽大学硕士学位论文 基于足底压力分布的静态步态识别研究
Ab stract
In recent years,gait recognition has e more and more popular in the field of biological characteristics,which is based on characteristics of human walking for identity present,most of research on gait recognition is realized puter ,the method of distribution of plantar pressure is just used for data addition,the target is mainly concentrated on medical diagnosis, analysis of curative effect and physical research of distribution of plantar pressure for identification is ,this thesis did some research
about gait recognition.
The whole process of gait recognition includes data collection,data preprocessing, feature extraction,classification and recognition,among which feature extraction is the most thesis mainly adopted two kinds of methods for feature extraction on the distribution of plantar pressure and then used support vector machine for classification one by one.
The distribution of plantar pressure is non·linear,SO the stability and robustness of
feature will be very low if extract feature directly for gait ,a method of gait recognition based on improved characteristics of spectrum and distance of foot edge is proposed in the third chapter of this , according to the fact that the shape of object is an important feature of object,but many researchers just used information of planar pressure or contour of foot edge,a novel method of static gait recognition based Fourier descriptor and singular value position is proposed in the fourth chapter of this novel bines Fourier descriptor and singular value position as a new feature of information of plantar pressure and foot edge for gait ,this thesis classified the extracted feature by support vector machine and listed the analysis of experimental results,which provides reference for the future research of gait recognitio