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Opis

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.

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Kategoria Książki po angielsku Technology, engineering, agriculture Civil engineering, surveying & building Building construction & materials

• Pełny tytuł: Machine Learning Techniques for Gait Biometric Recognition
• Podtytuł: Using the Ground Reaction Force
• Autor: James Eric Mason, Issa Traore, Isaac Woungang
• Język: Angielski
• Oprawa: Twarda
• Liczba stron: 223
• EAN: 9783319290867
• ISBN: 331929086X
• ID: 02876432
• Wydawca: Springer International Publishing AG
• Waga: 5148 g
• Wymiary: 235 × 155 × 20 mm
• Data wydania: 05. February 2016

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