Machine Learning Techniques for Gait Biometric Recognition

Name: Machine Learning Techniques for Gait Biometric Recognition
Brand: Springer International Publishing AG
SKU: 9783319290867
Price: 52.83 EUR
Availability: InStock

Using the Ground Reaction Force

Автор: James Eric Mason, Issa Traore, Isaac Woungang

Език:

Корици: С твърди корици

Издател: Springer International Publishing AG

Наличност: Външен склад

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52.83 € 103.32 лв

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

Информация за книгата

Автор

James Eric Mason, Issa Traore, Isaac Woungang

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2016

страници

223

EAN

9783319290867

ISBN

331929086X

Enbook ID

02876432

Издател

Springer International Publishing AG

Теглоt

5148

Размери

155 x 235 x 20

Пълно описание

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

Информация за книгата

Пълно описание

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Клиенти, които купиха тази книга, купиха също