Machine Learning Techniques for Gait Biometric Recognition

Using the Ground Reaction Force

Autor: JAMES ERIC MASON

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer International Publishing AG

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This book focuses on how machine learning techniques can be used to analyze and make use of one part...

Informácie o knihe

Autor

JAMES ERIC MASON

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2018

Stránok

223

EAN

9783319804866

ISBN

9783319804866

Enbook ID

19308760

Vydavateľ

Springer International Publishing AG

Hmotnosť

414

Rozmery

233 x 156 x 20

Kompletný popis

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 in-depth analysis of existing recognition techniques that are best suited for performing footstep GRF-based 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 machine-learning-based temporal normalization techniques · bridges research gaps concerning the effect of footwear and stepping speed on footstep GRF-based 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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Machine Learning Techniques for Gait Biometric Recognition

Using the Ground Reaction Force

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