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Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force - Couverture rigide
- ÉditeurSpringer International Publishing AG
- Date d'édition2016
- ISBN 10 331929086X
- ISBN 13 9783319290867
- ReliureRelié
- Langueanglais
- Numéro d'édition1
- Nombre de pages223
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Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Edité par
Springer, 2016
ISBN 10 : 331929086X
ISBN 13 : 9783319290867
Ancien ou d'occasion
Couverture rigide
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Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force
Vendeur : California Books, Miami, FL, Etats-Unis
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Edité par
Springer, 2016
ISBN 10 : 331929086X
ISBN 13 : 9783319290867
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Machine Learning Techniques for Gait Biometric Recognition
Edité par
Springer International Publishing Feb 2016, 2016
ISBN 10 : 331929086X
ISBN 13 : 9783319290867
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 260 pp. Englisch. N° de réf. du vendeur 9783319290867
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Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Edité par
Springer International Publishing, 2016
ISBN 10 : 331929086X
ISBN 13 : 9783319290867
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783319290867
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Edité par
Springer International Publishing, 2016
ISBN 10 : 331929086X
ISBN 13 : 9783319290867
Ancien ou d'occasion
Couverture rigide
Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. Außen: Buchschnitt verkürzt. | Seiten: 260 | Sprache: Englisch | Produktart: Sonstiges. N° de réf. du vendeur 26368328/12
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