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

• Κύριοι συγγραφείς: Mason, James Eric (Συγγραφέας), Traoré, Issa (Συγγραφέας), Woungang, Isaac (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Έκδοση: 1st ed. 2016.
• Θέματα: 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....

Πίνακας περιεχομένων:

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