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£39.92

Springer Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force

Name: Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force
Brand: Springer
Price: 39.92 GBP
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AI & Machine Learning

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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

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 331929086X
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 22 February 2016
Listed Since: 10 December 2015

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Springer Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force

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