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Machine Learning Techniques for Gait Biometric Recognition

Name: Machine Learning Techniques for Gait Biometric Recognition
Brand: Springer International Publishing AG
SKU: 02876432
Price: 48.85 EUR
Availability: InStock
Author: James Eric Mason
ISBN: 9783319290867

Using the Ground Reaction Force

James Eric Mason

Issa Traore

Isaac Woungang

Jezik

Angleščina

Knjiga Trda

Koda Libristo: 02876432

Založba Springer International Publishing AG, februar 2016

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

Koda Libristo: 02876432

118 b

48.85 €

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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 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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O knjigi

Polni naslov Machine Learning Techniques for Gait Biometric Recognition

Avtor James Eric Mason, Issa Traore, Isaac Woungang

Jezik

Angleščina

Vezava Knjiga - Trda

Datum izida 2016

Število strani 223

EAN 9783319290867

ISBN 331929086X

Koda Libristo 02876432

Založba Springer International Publishing AG

Teža 5148

Mere 155 x 235 x 20

Kategorije

Technology, Engineering, Agriculture > Civil engineering, surveying & building > Building construction & materials > Security & fire alarm systems

Technology, Engineering, Agriculture > Other technologies & applied sciences > Applied optics > Imaging systems & technology

Computing & Information Technology > Computer science > Artificial intelligence > Machine learning

Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition

Computing & Information Technology > Computer science > Artificial intelligence > Computer vision

Technology, Engineering, Agriculture > Technology: general issues > Engineering: general

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering

Computing & Information Technology > Computer science > Signal processing

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