From raw to big data in endurance running: application of data science techniques for knowledge creation from wearable sensor data
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Erlangen
FAU University Press
2022
|
| Schriftenreihe: | FAU Studien aus der Informatik
Band 18 |
| Schlagworte: | |
| Online-Zugang: | Volltext Volltext Volltext Volltext Inhaltsverzeichnis |
| Beschreibung: | xxiv, 179 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm, 387 g |
| ISBN: | 9783961475384 3961475385 9783961475391 |
| DOI: | 10.25593/978-3-96147-539-1 |
Internformat
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| 100 | 1 | |a Zrenner, Markus |0 (DE-588)1264786557 |4 aut | |
| 245 | 1 | 0 | |a From raw to big data in endurance running |b application of data science techniques for knowledge creation from wearable sensor data |c Markus Zrenner |
| 246 | 1 | 3 | |a Der Weg von Rohdaten zu Big Data beim Ausdauerlauf : Anwendung von Data Science Methoden für den Erkenntnisgewinn aus Daten von Wearables |
| 264 | 1 | |a Erlangen |b FAU University Press |c 2022 | |
| 300 | |a xxiv, 179 Seiten |b Illustrationen, Diagramme |c 21 cm x 14.8 cm, 387 g | ||
| 336 | |b txt |2 rdacontent | ||
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| 490 | 1 | |a FAU Studien aus der Informatik |v Band 18 | |
| 502 | |b Dissertation |c Friedrich-Alexander-Universität Erlangen-Nürnberg |d 2022 | ||
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Big Data |0 (DE-588)4802620-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Wearable Computer |0 (DE-588)4760857-2 |2 gnd |9 rswk-swf |
| 653 | |a Machine Learning | ||
| 653 | |a Maschinelles Lernen | ||
| 653 | |a Big Data | ||
| 653 | |a Wearable Computer | ||
| 653 | |a Data Science | ||
| 653 | |a Marathonlauf | ||
| 653 | |a Endurance Running | ||
| 653 | |a Wearables | ||
| 653 | |a Sports | ||
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| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |t From Raw to Big Data in Endurance Running : Application of Data Science Techniques for Knowledge Creation from Wearable Sensor Data |d Erlangen : FAU University Press, 2022 |h Online-Ressource |z 978-3-96147-539-1 |
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| 830 | 0 | |a FAU Studien aus der Informatik |v Band 18 |w (DE-604)BV043902000 |9 18 | |
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Datensatz im Suchindex
| _version_ | 1804184290527805440 |
|---|---|
| adam_text | CONTENTS
ABSTRACT
........................................................................................................
III
ACKNOWLEDGEMENTS
.......................................................................................
VII
LIST
OF
ABBREVIATIONS
..................................................................................
XIII
LIST
OF
FIGURES
...............................................................................................
XV
LIST
OF
TABLES
..............................................................................................
XXIII
I
INTRODUCTION
I
I
MOTIVATION
.............................................................................
3
1.1
THE
RISE
OF
WEARABLES
AND
BIG
DATA
IN
SPORTS
..............................
3
1.2
ENDURANCE
RUNNING
-
THE
EARLY
ADOPTER
OF
WEARABLES
.................
5
1.3
OBJECTIVES
OF
THE
THESIS
................................................................
6
1.4
CONTRIBUTIONS
.............................................................................
7
1.5
OVERVIEW
OF
THE
THESIS
................................................................
10
II
FUNDAMENTALS
&
STATE
OF
THE
ART
11
2
FUNDAMENTALS
IN
SPORTS
SCIENCE
.........................................
13
2.1
SPATIO-TEMPORAL
PARAMETERS
AND
FOOT
KINEMATICS
IN
ENDURANCE
RUNNING
............................................................................
13
2.1.1
STRIDE
PHASES
AND
STRIDE
EVENTS
.......................................
14
2.1.2
STRIDE
LENGTH,
STRIDE
TIME
AND
VELOCITY
...........................
15
2.1.3
FOOT
JOINT
ANGLES
..............................................................
16
2.1.4
LABORATORY
MEASUREMENTS
..............................................
20
2.2
PHYSIOLOGY
OF
ENDURANCE
RUNNING
.................................................
21
2.2.1
BASICS
OF
EXERCISE
PHYSIOLOGY
..........................................
21
2.2.2
LABORATORY
MEASUREMENTS
..............................................
24
3
STATE
OF
THE
ART
....................................................................
27
3.1
WEARABLES
IN
ENDURANCE
RUNNING
.................................................
27
3.1.1
SENSOR
SYSTEMS
................................................................
27
3.1.2
APPLICATIONS
OF
IMUS
IN
ENDURANCE
RUNNING
.................
29
IX
3.1.3
DATA
PROCESSING
FOR
SPATIO-TEMPROAL
AND
KINEMATIC
PA
RAMETERS
USING
FOOT-MOUNTED
IMU
................................
33
3.2
BIG
DATA
ANALYSIS
USING
DATA
OF
WEARABLES
...................................
47
3.2.1
OVERVIEW
OF
BIG
DATA
PROCESS
.......................................
47
3.2.2
DATABASES
.......................................................................
51
3.2.3
APPLICATIONS
WITH
DATA
OF
WEARABLES
FROM
FITNESS
PLATFORMS
53
III
CONTRIBUTIONS
55
4
EVALUATION
OF
ALGORITHMS
FOR
IMU
DATA
PROCESSING
...........
57
4.1
INTRODUCTION
.................................................................................
58
4.1.1
LITERATURE
REVIEW
..........................................................
58
4.1.2
CONTRIBUTION
.................................................................
60
4.2
METHODS
.......................................................................................
61
4.2.1
DATA
COLLECTION
..............................................................
61
4.2.2
ALGORITHMS
....................................................................
64
4.2.3
EVALUATION
.......................................................................
75
4.3
RESULTS
..........................................................................................
75
4.3.1
LAB
STUDY
.......................................................................
75
4.3.2
FIELD
STUDY
....................................................................
77
4.4
DISCUSSION
....................................................................................
80
4.4.1
COMPARISON
TO
EXISTING
LITERATURE
.................................
80
4.4.2
LAB
STUDY
.......................................................................
81
4.4.3
FIELD
STUDY
....................................................................
87
4.5
CONCLUSIONS
AND
FUTURE
WORK
.....................................................
88
4.6
AUTHOR
CONTRIBUTIONS
........................................................................
89
5
EVALUATION
OF
IMU
SENSOR
POSITION
....................................
91
5.1
INTRODUCTION
.................................................................................
92
5.2
METHODS
.......................................................................................
94
5.2.1
DEFINITION
OF
SPATIO-TEMPORAL
PARAMETERS
....................
94
5.2.2
DATASET
..........................................................................
95
5.2.3
ALGORITHM
..........................................................................
100
5.2.4
EVALUATION
..........................................................................
109
5.3
RESULTS
...........................................................................................
111
5.3.1
RESULTS
OF
RAW
DATA
SIMILARITY
.......................................
ILL
5.3.2
RESULTS
OF
SPATIO-TEMPORAL
PARAMETERS
..............................
113
5.4
DISCUSSION
........................................................................................
115
5.4.1
DIFFERENCES
IN
RAW
DATA
........................................................
115
X
5.4.2
TEMPORAL
PARAMETERS
........................................................
116
5.4.3
SPATIAL
PARAMETERS
...............................................................
117
5.4.4
GENERAL
ASPECTS
.................................................................
120
5.5
CONCLUSION
........................................................................................
121
5.6
AUTHOR
CONTRIBUTIONS
.......................................................................
122
6
BIG
DATA
ANALYSIS
ON
FITNESS
PLATFORM
DATA
.........................
123
6.1
INTRODUCTION
....................................................................................
124
6.2
METHODS
...........................................................................................
126
6.2.1
DATASET
..............................................................................
126
6.2.2
DATA
PROCESSING
.................................................................
126
6.2.3
EVALUATION
...........................................................................
133
6.3
RESULTS
..............................................................................................
134
6.3.1
PLAUSIBILITY
OF
THE
DATA
SET
.................................................
134
6.3.2
EVALUATION
OF
RESPONSE
GROUPS
...........................................
134
6.3.3
EVALUATION
OF
TRAINING
CHARACTERISTICS
..............................
134
6.4
DISCUSSION
.......................................................................................
138
6.4.1
PLAUSIBILITY
OF
THE
DATA
SET
.................................................
138
6.4.2
EVALUATION
OF
RESPONSE
GROUPS
...........................................
141
6.4.3
EVALUATION
OF
TRAINING
CHARACTERISTICS
..............................
142
6.4.4
LIMITATIONS
.......................................................................
143
6.5
CONCLUSION
.......................................................................................
143
6.6
AUTHOR
CONTRIBUTIONS
....................................................................
144
IV
PERSPECTIVES
145
7
DISCUSSION
...............................................................................
147
7.1
IMU
ANALYSIS
IN
ENDURANCE
RUNNING
..............................................
147
7.2
BIG
DATA
ANALYSIS
IN
ENDURANCE
RUNNING
......................................
150
8
CONCLUSION
&
OUTLOOK
............................................................
153
BIBLIOGRAPHY
................................................................................................
155
XI
|
| adam_txt |
CONTENTS
ABSTRACT
.
III
ACKNOWLEDGEMENTS
.
VII
LIST
OF
ABBREVIATIONS
.
XIII
LIST
OF
FIGURES
.
XV
LIST
OF
TABLES
.
XXIII
I
INTRODUCTION
I
I
MOTIVATION
.
3
1.1
THE
RISE
OF
WEARABLES
AND
BIG
DATA
IN
SPORTS
.
3
1.2
ENDURANCE
RUNNING
-
THE
EARLY
ADOPTER
OF
WEARABLES
.
5
1.3
OBJECTIVES
OF
THE
THESIS
.
6
1.4
CONTRIBUTIONS
.
7
1.5
OVERVIEW
OF
THE
THESIS
.
10
II
FUNDAMENTALS
&
STATE
OF
THE
ART
11
2
FUNDAMENTALS
IN
SPORTS
SCIENCE
.
13
2.1
SPATIO-TEMPORAL
PARAMETERS
AND
FOOT
KINEMATICS
IN
ENDURANCE
RUNNING
.
13
2.1.1
STRIDE
PHASES
AND
STRIDE
EVENTS
.
14
2.1.2
STRIDE
LENGTH,
STRIDE
TIME
AND
VELOCITY
.
15
2.1.3
FOOT
JOINT
ANGLES
.
16
2.1.4
LABORATORY
MEASUREMENTS
.
20
2.2
PHYSIOLOGY
OF
ENDURANCE
RUNNING
.
21
2.2.1
BASICS
OF
EXERCISE
PHYSIOLOGY
.
21
2.2.2
LABORATORY
MEASUREMENTS
.
24
3
STATE
OF
THE
ART
.
27
3.1
WEARABLES
IN
ENDURANCE
RUNNING
.
27
3.1.1
SENSOR
SYSTEMS
.
27
3.1.2
APPLICATIONS
OF
IMUS
IN
ENDURANCE
RUNNING
.
29
IX
3.1.3
DATA
PROCESSING
FOR
SPATIO-TEMPROAL
AND
KINEMATIC
PA
RAMETERS
USING
FOOT-MOUNTED
IMU
.
33
3.2
BIG
DATA
ANALYSIS
USING
DATA
OF
WEARABLES
.
47
3.2.1
OVERVIEW
OF
BIG
DATA
PROCESS
.
47
3.2.2
DATABASES
.
51
3.2.3
APPLICATIONS
WITH
DATA
OF
WEARABLES
FROM
FITNESS
PLATFORMS
53
III
CONTRIBUTIONS
55
4
EVALUATION
OF
ALGORITHMS
FOR
IMU
DATA
PROCESSING
.
57
4.1
INTRODUCTION
.
58
4.1.1
LITERATURE
REVIEW
.
58
4.1.2
CONTRIBUTION
.
60
4.2
METHODS
.
61
4.2.1
DATA
COLLECTION
.
61
4.2.2
ALGORITHMS
.
64
4.2.3
EVALUATION
.
75
4.3
RESULTS
.
75
4.3.1
LAB
STUDY
.
75
4.3.2
FIELD
STUDY
.
77
4.4
DISCUSSION
.
80
4.4.1
COMPARISON
TO
EXISTING
LITERATURE
.
80
4.4.2
LAB
STUDY
.
81
4.4.3
FIELD
STUDY
.
87
4.5
CONCLUSIONS
AND
FUTURE
WORK
.
88
4.6
AUTHOR
CONTRIBUTIONS
.
89
5
EVALUATION
OF
IMU
SENSOR
POSITION
.
91
5.1
INTRODUCTION
.
92
5.2
METHODS
.
94
5.2.1
DEFINITION
OF
SPATIO-TEMPORAL
PARAMETERS
.
94
5.2.2
DATASET
.
95
5.2.3
ALGORITHM
.
100
5.2.4
EVALUATION
.
109
5.3
RESULTS
.
111
5.3.1
RESULTS
OF
RAW
DATA
SIMILARITY
.
ILL
5.3.2
RESULTS
OF
SPATIO-TEMPORAL
PARAMETERS
.
113
5.4
DISCUSSION
.
115
5.4.1
DIFFERENCES
IN
RAW
DATA
.
115
X
5.4.2
TEMPORAL
PARAMETERS
.
116
5.4.3
SPATIAL
PARAMETERS
.
117
5.4.4
GENERAL
ASPECTS
.
120
5.5
CONCLUSION
.
121
5.6
AUTHOR
CONTRIBUTIONS
.
122
6
BIG
DATA
ANALYSIS
ON
FITNESS
PLATFORM
DATA
.
123
6.1
INTRODUCTION
.
124
6.2
METHODS
.
126
6.2.1
DATASET
.
126
6.2.2
DATA
PROCESSING
.
126
6.2.3
EVALUATION
.
133
6.3
RESULTS
.
134
6.3.1
PLAUSIBILITY
OF
THE
DATA
SET
.
134
6.3.2
EVALUATION
OF
RESPONSE
GROUPS
.
134
6.3.3
EVALUATION
OF
TRAINING
CHARACTERISTICS
.
134
6.4
DISCUSSION
.
138
6.4.1
PLAUSIBILITY
OF
THE
DATA
SET
.
138
6.4.2
EVALUATION
OF
RESPONSE
GROUPS
.
141
6.4.3
EVALUATION
OF
TRAINING
CHARACTERISTICS
.
142
6.4.4
LIMITATIONS
.
143
6.5
CONCLUSION
.
143
6.6
AUTHOR
CONTRIBUTIONS
.
144
IV
PERSPECTIVES
145
7
DISCUSSION
.
147
7.1
IMU
ANALYSIS
IN
ENDURANCE
RUNNING
.
147
7.2
BIG
DATA
ANALYSIS
IN
ENDURANCE
RUNNING
.
150
8
CONCLUSION
&
OUTLOOK
.
153
BIBLIOGRAPHY
.
155
XI |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Zrenner, Markus |
| author_GND | (DE-588)1264786557 |
| author_facet | Zrenner, Markus |
| author_role | aut |
| author_sort | Zrenner, Markus |
| author_variant | m z mz |
| building | Verbundindex |
| bvnumber | BV048395935 |
| collection | ebook |
| ctrlnum | (OCoLC)1340417833 (DE-599)DNB1264240104 |
| doi_str_mv | 10.25593/978-3-96147-539-1 |
| format | Thesis Book |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV048395935 |
| illustrated | Illustrated |
| index_date | 2024-07-03T20:21:49Z |
| indexdate | 2024-07-10T09:36:59Z |
| institution | BVB |
| institution_GND | (DE-588)1068111240 |
| isbn | 9783961475384 3961475385 9783961475391 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033774602 |
| oclc_num | 1340417833 |
| open_access_boolean | 1 |
| owner | DE-29 DE-12 DE-29T DE-91 DE-BY-TUM |
| owner_facet | DE-29 DE-12 DE-29T DE-91 DE-BY-TUM |
| physical | xxiv, 179 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm, 387 g |
| psigel | ebook |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | FAU University Press |
| record_format | marc |
| series | FAU Studien aus der Informatik |
| series2 | FAU Studien aus der Informatik |
| spelling | Zrenner, Markus (DE-588)1264786557 aut From raw to big data in endurance running application of data science techniques for knowledge creation from wearable sensor data Markus Zrenner Der Weg von Rohdaten zu Big Data beim Ausdauerlauf : Anwendung von Data Science Methoden für den Erkenntnisgewinn aus Daten von Wearables Erlangen FAU University Press 2022 xxiv, 179 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm, 387 g txt rdacontent n rdamedia nc rdacarrier FAU Studien aus der Informatik Band 18 Dissertation Friedrich-Alexander-Universität Erlangen-Nürnberg 2022 Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Wearable Computer (DE-588)4760857-2 gnd rswk-swf Machine Learning Maschinelles Lernen Big Data Wearable Computer Data Science Marathonlauf Endurance Running Wearables Sports (DE-588)4113937-9 Hochschulschrift gnd-content Big Data (DE-588)4802620-7 s Wearable Computer (DE-588)4760857-2 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 FAU University Press ein Imprint der Universität Erlangen-Nürnberg Universitätsbibliothek (DE-588)1068111240 pbl Erscheint auch als Online-Ausgabe From Raw to Big Data in Endurance Running : Application of Data Science Techniques for Knowledge Creation from Wearable Sensor Data Erlangen : FAU University Press, 2022 Online-Ressource 978-3-96147-539-1 Erscheint auch als Online-Ausgabe 10.25593/978-3-96147-539-1 urn:nbn:de:bvb:29-opus4-199276 FAU Studien aus der Informatik Band 18 (DE-604)BV043902000 18 https://open.fau.de/handle/openfau/19927 Verlag kostenfrei Volltext https://doi.org/10.25593/978-3-96147-539-1 Resolving-System kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-199276 Resolving-System kostenfrei Volltext https://d-nb.info/1264500424/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033774602&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p vlb 20220803 DE-101 https://d-nb.info/provenance/plan#vlb |
| spellingShingle | Zrenner, Markus From raw to big data in endurance running application of data science techniques for knowledge creation from wearable sensor data FAU Studien aus der Informatik Maschinelles Lernen (DE-588)4193754-5 gnd Big Data (DE-588)4802620-7 gnd Wearable Computer (DE-588)4760857-2 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4802620-7 (DE-588)4760857-2 (DE-588)4113937-9 |
| title | From raw to big data in endurance running application of data science techniques for knowledge creation from wearable sensor data |
| title_alt | Der Weg von Rohdaten zu Big Data beim Ausdauerlauf : Anwendung von Data Science Methoden für den Erkenntnisgewinn aus Daten von Wearables |
| title_auth | From raw to big data in endurance running application of data science techniques for knowledge creation from wearable sensor data |
| title_exact_search | From raw to big data in endurance running application of data science techniques for knowledge creation from wearable sensor data |
| title_exact_search_txtP | From raw to big data in endurance running application of data science techniques for knowledge creation from wearable sensor data |
| title_full | From raw to big data in endurance running application of data science techniques for knowledge creation from wearable sensor data Markus Zrenner |
| title_fullStr | From raw to big data in endurance running application of data science techniques for knowledge creation from wearable sensor data Markus Zrenner |
| title_full_unstemmed | From raw to big data in endurance running application of data science techniques for knowledge creation from wearable sensor data Markus Zrenner |
| title_short | From raw to big data in endurance running |
| title_sort | from raw to big data in endurance running application of data science techniques for knowledge creation from wearable sensor data |
| title_sub | application of data science techniques for knowledge creation from wearable sensor data |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd Big Data (DE-588)4802620-7 gnd Wearable Computer (DE-588)4760857-2 gnd |
| topic_facet | Maschinelles Lernen Big Data Wearable Computer Hochschulschrift |
| url | https://open.fau.de/handle/openfau/19927 https://doi.org/10.25593/978-3-96147-539-1 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-199276 https://d-nb.info/1264500424/34 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033774602&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV043902000 |
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