Machine learning techniques for gait biometric recognition: using the ground reaction force
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
[Cham]
Springer
[2016]
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Schlagworte: | |
Online-Zugang: | BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Abstract Inhaltsverzeichnis |
Beschreibung: | 1 Online Ressource (xxxiv, 223 Seiten) |
ISBN: | 9783319290881 |
DOI: | 10.1007/978-3-319-29088-1 |
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Datensatz im Suchindex
DE-BY-FWS_katkey | 612936 |
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adam_text | MACHINE LEARNING TECHNIQUES FOR GAIT BIOMETRIC RECOGNITION
/ MASON, JAMES ERIC
: 2016
ABSTRACT / INHALTSTEXT
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
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
MACHINE LEARNING TECHNIQUES FOR GAIT BIOMETRIC RECOGNITION
/ MASON, JAMES ERIC
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
INTRODUCTION
BACKGROUND
EXPERIMENTAL DESIGN AND DATASET
FEATURE EXTRACTION.-NORMALIZATION
CLASSIFICATION
MEASURED PERFORMANCE
EXPERIMENTAL ANALYSIS
CONCLUSION
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
any_adam_object | 1 |
author | Mason, James Eric |
author_GND | (DE-588)1043909540 |
author_facet | Mason, James Eric |
author_role | aut |
author_sort | Mason, James Eric |
author_variant | j e m je jem |
building | Verbundindex |
bvnumber | BV043422729 |
collection | ZDB-2-ENG |
ctrlnum | (OCoLC)943775945 (DE-599)BVBBV043422729 |
dewey-full | 621.382 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.382 |
dewey-search | 621.382 |
dewey-sort | 3621.382 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.1007/978-3-319-29088-1 |
format | Electronic eBook |
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indexdate | 2024-08-01T12:13:02Z |
institution | BVB |
isbn | 9783319290881 |
language | English |
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physical | 1 Online Ressource (xxxiv, 223 Seiten) |
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publishDate | 2016 |
publishDateSearch | 2016 |
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publisher | Springer |
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spellingShingle | Mason, James Eric Machine learning techniques for gait biometric recognition using the ground reaction force Engineering Biometrics (Biology) System safety Signal, Image and Speech Processing Biometrics Security Science and Technology Ingenieurwissenschaften |
title | Machine learning techniques for gait biometric recognition using the ground reaction force |
title_auth | Machine learning techniques for gait biometric recognition using the ground reaction force |
title_exact_search | Machine learning techniques for gait biometric recognition using the ground reaction force |
title_full | Machine learning techniques for gait biometric recognition using the ground reaction force James Eric Mason, Issa Traoré, Isaac Woungang |
title_fullStr | Machine learning techniques for gait biometric recognition using the ground reaction force James Eric Mason, Issa Traoré, Isaac Woungang |
title_full_unstemmed | Machine learning techniques for gait biometric recognition using the ground reaction force James Eric Mason, Issa Traoré, Isaac Woungang |
title_short | Machine learning techniques for gait biometric recognition |
title_sort | machine learning techniques for gait biometric recognition using the ground reaction force |
title_sub | using the ground reaction force |
topic | Engineering Biometrics (Biology) System safety Signal, Image and Speech Processing Biometrics Security Science and Technology Ingenieurwissenschaften |
topic_facet | Engineering Biometrics (Biology) System safety Signal, Image and Speech Processing Biometrics Security Science and Technology Ingenieurwissenschaften |
url | https://doi.org/10.1007/978-3-319-29088-1 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028840622&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028840622&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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