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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force (Hardcover)

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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.
Genre: Technology, Computers + Internet
Sub-Genre: Engineering / General, Electronics / General, Computer Vision + Pattern Recognition
Format: Hardcover
Publisher: Springer Verlag
Author: James Eric Mason & Issa Traore & Isaac Woungang
Language: English
Street Date: February 12, 2016
TCIN: 50994216
UPC: 9783319290867
Item Number (DPCI): 248-13-8917

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