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Könyv Machine Learning Techniques for Gait Biometric Recognition James Eric Mason

Machine Learning Techniques for Gait Biometric Recognition

Using the Ground Reaction Force

Szerző: James Eric Mason, Issa Traore, Isaac Woungang
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer International Publishing AG
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
19 373 Ft
This book focuses on how machine learning techniques can be used to analyze and make use of one part...

Információk a könyvről

Szerző
James Eric Mason, Issa Traore, Isaac Woungang
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2016
oldal
223
EAN
9783319290867
ISBN
331929086X
Enbook ID
02876432
Kiadó
Springer International Publishing AG
Súly
5148
Méretek
155 x 235 x 20

Teljes leírás

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.

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