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

• Main Authors: Mason, James Eric (Author), Traoré, Issa (Author), Woungang, Isaac (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Edition: 1st ed. 2016.
• Subjects: Engineering.; Biometrics (Biology).; System safety.; Signal, Image and Speech Processing.; Biometrics.; Security Science and Technology.

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....

Table of Contents:

• Introduction
• Background
• Experimental Design and Dataset
• Feature Extraction.-Normalization
• Classification
• Measured Performance
• Experimental Analysis
• Conclusion.