Machine Learning Techniques for Gait Biometric Recognition

Name: Machine Learning Techniques for Gait Biometric Recognition
Brand: Springer International Publishing AG
SKU: 9783319290867
Price: 213.09 PLN
Availability: InStock

Using the Ground Reaction Force

Autor: James Eric Mason, Issa Traore, Isaac Woungang

Język:

Oprawa: Twarda

Wydawca: Springer International Publishing AG

Dostępność: Dostępna u dostawcy

Wysyłamy za 10-13 dni

213.09 zł

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

Informacje o książce

Autor

James Eric Mason, Issa Traore, Isaac Woungang

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2016

strony

223

EAN

9783319290867

ISBN

331929086X

Enbook ID

02876432

Wydawca

Springer International Publishing AG

Waga

5148

Wymiary

155 x 235 x 20

Pełny opis

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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Machine Learning Techniques for Gait Biometric Recognition

Using the Ground Reaction Force

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