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Book synopsis

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.

Book details

Book category Books in English Technology, engineering, agriculture Civil engineering, surveying & building Building construction & materials

• Full title: Machine Learning Techniques for Gait Biometric Recognition
• Subtitle: Using the Ground Reaction Force
• Author: James Eric Mason, Issa Traore, Isaac Woungang
• Language: English
• Binding: Hardback
• Number of pages: 223
• EAN: 9783319290867
• ISBN: 331929086X
• ID: 02876432
• Publisher: Springer International Publishing AG
• Weight: 5148 g
• Dimensions: 235 × 155 × 20 mm
• Date of publishing: 05. February 2016

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