Verfügbarkeit: Acquisition, filtering and analysis of positional and inertial data in sports

Acquisition, filtering and analysis of positional and inertial data in sports:

Gespeichert in:

Bibliographische Detailangaben
Beteilige Person:	Kautz, Thomas (VerfasserIn)
Format:	Hochschulschrift/Dissertation Buch
Sprache:	Englisch
Veröffentlicht:	Erlangen FAU University Press 2017
Schriftenreihe:	FAU Studien aus der Informatik Band 2
Schlagwörter:	Kalman-Filter Mustererkennung Sport Objektverfolgung Beschleunigungssensor Deep learning Leichtathletik Sports analytics Hochschulschrift
Links:	http://d-nb.info/1144619084/34 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-89527 https://open.fau.de/handle/openfau/8952 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030040923&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	iii, 201 Seiten Illustrationen, Diagramme
ISBN:	9783961470648 3961470642

Internformat

MARC


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Datensatz im Suchindex

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adam_text	CONTENTS 1 INTRODUCTION 1 1.1 OVERVIEW AND M OTIVATION.................................................. 1 1.2 TECHNICAL CHALLENGES ........................................................ 6 1.3 LITERATURE AND PATENTS ........................................................ 7 1.3.1 ACQUISITION OF POSITIONAL D ATA ................................ 7 1.3.2 FILTERING OF POSITIONAL D ATA..................................... 11 1.3.3 AUTOMATIC ACTIVITY RECOGNITION IN SPORTS ............... 16 1.4 CONTRIBUTIONS..................................................................... 20 1.5 STRUCTURE OF THIS WORK ........................................................ 22 2 FUNDAMENTALS 23 2.1 POSITIONING FUNDAMENTALS ................................................ 23 2.1.1 POSITIONING SYSTEMS IN SPORTS ................................ 23 2.1.2 MEASUREMENT PRINCIPLES ....................................... 25 2.1.3 MEASUREMENT ERRORS................................................ 29 2.2 INERTIAL-MAGNETIC SENSORS.................................................. 31 2.3 KALMAN F ILTERS................................................................... 32 2.3.1 PRINCIPLES ............................................................... 32 2.3.2 STATE DESCRIPTION AND FILTER MODELS ...................... 34 2.3.3 THE EXTENDED KALMAN F ILTER................................... 35 2.3.4 THE UNSCENTED KALMAN FILTER ................................ 38 2.3.5 THE SQUARE-ROOT UNSCENTED KALMAN F ILTE R ........... 41 2.4 PATTERN RECOGNITION FUNDAMENTALS................................... 42 2.4.1 PATTERN RECOGNITION PIPELINE ................................ 42 2.4.2 DEEP LEARNING ........................................................ 46 2.4.3 EVALUATION............................................................... 54 3 ACQUISITION OF POSITIONAL DATA IN SPORTS 57 3.1 AUTOMATIC CALIBRATION OF TDOA POSITIONING SYSTEMS ......... 58 3.1.1 OVERVIEW................................................................. 58 3.1.2 M ETHODS................................................................. 58 3.1.3 EXPERIMENTS AND EVALUATION................................... 63 3.1.4 RESULTS ..................................................................... 69 3.1.5 DISCUSSION............................................................... 71 3.2 BEACON NODE SELECTION FOR ROBUST LOCALIZATION ............... 76 3.2.1 OVERVIEW................................................................. 76 3.2.2 M ETHODS................................................................. 76 3.2.3 EXPERIMENTS AND EVALUATION................................... 76 3.2.4 RESULTS ..................................................................... 85 3.2.5 DISCUSSION............................................................... 66 4 FILTERING OF POSITIONAL DATA IN SPORTS 89 4.1 ROBUST KALMAN FRAMEWORK................................................ 90 4.1.1 OVERVIEW................................................................. 90 4.1.2 M ETHODS................................................................. 90 4.1.3 EXPERIMENTS AND EVALUATION................................... 96 4.1.4 RESULTS ..................................................................... 100 4.1.5 DISCUSSION............................................................... 102 4.2 AUGMENTED MOTION MODELS FOR POSITION FILTERING ............. 108 4.2.1 OVERVIEW................................................................. 108 4.2.2 M ETHODS................................................................. 108 4.2.3 EXPERIMENTS AND EVALUATION................................... I L L 4.2.4 RESULTS ..................................................................... 114 4.2.5 DISCUSSION............................................................... 114 5 ACTIVITY RECOGNITION IN SPORTS 121 5.1 RUGBY.................................................................................. 121 5.1.1 OVERVIEW................................................................. 121 5.1.2 M ETHODS................................................................. 123 5.1.3 EXPERIMENTS AND EVALUATION................................... 127 5.1.4 RESULTS ..................................................................... 128 5.1.5 DISCUSSION............................................................... 129 5.2 BEACH VOLLEYBALL................................................................. 131 5.2.1 OVERVIEW................................................................. 131 5.2.2 M ETHODS................................................................. 132 5.2.3 EXPERIMENTS AND EVALUATION................................... 142 5.2.4 RESULTS ..................................................................... 143 5.2.5 DISCUSSION............................................................... 148 6 SUMMARY, DISCUSSION AND CONCLUSION 155 6.1 SUMMARY AND DISCUSSION OF CONTRIBUTIONS ...................... 155 6.1.1 ACQUISITION OF POSITIONAL DATA IN SPORTS ................. 155 6.1.2 FILTERING OF POSITIONAL DATA IN SPORTS...................... 158 6.1.3 ACTIVITY RECOGNITION IN SPORTS ................................ 160 6.2 O UTLOOK.............................................................................. 163 6.2.1 DATA ACQUISITION AND FILTERING .............................. 163 6.2.2 DATA ANALYSIS .......................................................... 165 6.3 CONCLUSION.......................................................................... 166 ABBREVIATIONS 169 LIST OF FIGURES 173 LIST OF TABLES 175 BIBLIOGRAPHY 177
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author	Kautz, Thomas
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physical	iii, 201 Seiten Illustrationen, Diagramme
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spellingShingle	Kautz, Thomas Acquisition, filtering and analysis of positional and inertial data in sports FAU Studien aus der Informatik Kalman-Filter (DE-588)4130759-8 gnd Mustererkennung (DE-588)4040936-3 gnd Sport (DE-588)4056366-2 gnd Objektverfolgung (DE-588)4311226-2 gnd
subject_GND	(DE-588)4130759-8 (DE-588)4040936-3 (DE-588)4056366-2 (DE-588)4311226-2 (DE-588)4113937-9
title	Acquisition, filtering and analysis of positional and inertial data in sports
title_auth	Acquisition, filtering and analysis of positional and inertial data in sports
title_exact_search	Acquisition, filtering and analysis of positional and inertial data in sports
title_full	Acquisition, filtering and analysis of positional and inertial data in sports Thomas Kautz
title_fullStr	Acquisition, filtering and analysis of positional and inertial data in sports Thomas Kautz
title_full_unstemmed	Acquisition, filtering and analysis of positional and inertial data in sports Thomas Kautz
title_short	Acquisition, filtering and analysis of positional and inertial data in sports
title_sort	acquisition filtering and analysis of positional and inertial data in sports
topic	Kalman-Filter (DE-588)4130759-8 gnd Mustererkennung (DE-588)4040936-3 gnd Sport (DE-588)4056366-2 gnd Objektverfolgung (DE-588)4311226-2 gnd
topic_facet	Kalman-Filter Mustererkennung Sport Objektverfolgung Hochschulschrift
url	http://d-nb.info/1144619084/34 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-89527 https://open.fau.de/handle/openfau/8952 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030040923&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV043902000
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