Téléchargez le livre : Machine Learning Techniques for Gait Biometric Recognition

Machine Learning Techniques for Gait Biometric Recognition

Using the Ground Reaction Force de

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Éditeur :

Springer


Paru le : 2016-02-04

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Description
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
Pages
223 pages
Collection
n.c
Parution
2016-02-04
Marque
Springer
EAN papier
9783319290867
EAN PDF
9783319290881
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
5366 Ko
Prix
52,74 €
EAN EPUB
9783319290881
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
3308 Ko
Prix
52,74 €

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