Title
Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force,Used
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This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric. A comprehensive Ground Reaction Force (GRF)based Gait Biometrics Recognition framework is proposed and validated by experiments. In addition, an indepth analysis of existing recognition techniques that are best suited for performing footstep GRFbased person recognition is also proposed, as well as a comparison of feature extractors, normalizers, and classifiers configurations that were never directly compared with one another in any previous GRF recognition research. Finally, a detailed theoretical overview of many existing machine learning techniques is presented, leading to a proposal of two novel data processing techniques developed specifically for the purpose of gait biometric recognition using GRF.This book introduces novel machinelearningbased temporal normalization techniques bridges research gaps concerning the effect of footwear and stepping speed on footstep GRFbased person recognition provides detailed discussions of key research challenges and open research issues in gait biometrics recognition compares biometrics systems trained and tested with the same footwear against those trained and tested with different footwear
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