Name: Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force (en Inglés)
Price: 247578.00 COP
Availability: InStock
Author: Mason, James Eric ; Traoré, Issa ; Woungang, Isaac
ISBN: 9783319290867

portada Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

223

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.6 x 1.6 cm

Peso

0.54 kg.

ISBN13

9783319290867

Categorías

Ingeniería: general
Ingeniería electrónica
Reconocimiento de formas
Visión por ordenador

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

Isaac Woungang (Autor) · Issa Traore (Autor) · James Eric Mason (Autor) · Springer · Tapa Dura

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Reseña del libro "Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force (en Inglés)"

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.This book- introduces novel machine-learning-based temporal normalization techniques- bridges research gaps concerning the effect of footwear and stepping speed on footstep GRF-based person recognition- provides detailed discussions of key research challenges and open research issues in gait biometrics recognition- compares biometrics systems trained and tested with the same footwear against those trained and tested with different footwear