Essentials of performance analysis in sport:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London [u.a.]
Routledge
2015
|
| Ausgabe: | 2. ed. |
| Schriftenreihe: | Sport science
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXVIII, 429 S. Ill., graph. Darst. |
| ISBN: | 9781138022980 9781138022997 9781315776743 |
Internformat
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Datensatz im Suchindex
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|---|---|
| adam_text | CONTENTS
List of figures xi
List of tables xirii
Motes on contributors xx
Preface xxv
Acknowledgements xxvi
Abbreviations xxvii
Introduction 1
1 The importance of feedback to performance 11
Dana Maslovat and Ian M. Franks
1.1 Introduction 11
1.2 The need for valid and reliable feedback 12
1.3 Video feedback 13
1.4 Presenting visual feedback to athletes 14
1.5 Precision and timing of feedback 16
1.6 Summary 16
2 What is performance analysis? 18
Mike Hughes and Roger Bartlett
2.1 Introduction 18
2.2 Notational analysis 19
2.3 Biomechanics — what is the biomechanical view of
performance analysis? 24
Conclusions 28
2.4
vl Contents
3 Providing information for teaching skills in sport
Keith R. Lohse and Nicola J. Hodges
3.1 Introduction 29
3.2 The micro-cycle: coaching from trial to trial 31
3.3 The meso-cycle: considerations for planning a practice session
3.4 The macro-cycle: coaching for long-term development 39
3.5 Summary 42
4 Video-based technologies, substitution of reality and
performance feedback
Dario G. Liebermann and Ian M. Franks
4.1 Introduction 44
4.2 Augmented feedback in elite sports: true “need” or “fashion”?
4.3 Extrinsic and intrinsic feedback in sports 45
4.4 Feedback, video and motor learning 47
4.5 Qualitative feedback and quantification of performance
using video-based technologies 48
4.6 Modeling and learning from simulation: feedback about
differences between simulated and observed performance 50
4.7 Watching versus performing movements in virtual and real
environments 51
4.8 Video technology and temporal feedback 51
4.9 Immediacy as a prerequisite for the effective use of feedback
during skill acquisition 52
4.10 Summary 53
5 An overview of the development of notation
analysis
Mike Hughes
5.1 Introduction 54
5.2 The development of sport-specific notation systems
(hand notation) 55
5.3 Introduction to computerised notational analysis 60
5.4 Some research using computer systems 61
5.5 Modelling 65
5.6 Current areas of research and support 79
5.7 Research into the methodology and theory of notational
analysis 84
5.8 Summary 84
5.9 The future of notational analysis 87
Contents vll
6 The use of performance indicators in performance
analysis 89
Mike Hughes and Roger Bartlett
6.1 Summary 89
6.2 Introduction 89
6.3 Analysis of game structures 95
6.4 Summary and conclusions 111
7 Sports analysis 113
Mike Hughes
7.1 Introduction 113
7.2 Creating flowcharts 114
7.3 Levels of analysis — the team, subsidiary units and
individuals 119
7.4 Summary 123
8 How do we design simple systems? How to develop
a notation system 124
Mike Hughes
8.1 Introduction 124
8.2 Data collection systems 124
8.3 Data collection systems in general 132
9 Examples of notation systems 135
Mike Hughes
9.1 Introduction 135
9.2 Individual sports 135
9.3 Team sports 145
9.4 Summary 168
10 Analysis of notation data: reliability 169
Mike Hughes
10.1 Introduction 169
10.2 The nature of the data, the depth of analysis 170
10.3 Consistency of percentage difference calculations 171
10.4 Processing data 172
10.5 Visual interpretation of the data (a modified Bland and
Altman plot) 174
10.6 Conclusions 177
viti Contents
11 Qualitative biomechanical analysis of* technique
Adrian Tees and Mark Robinson
11.1 Introduction 180
11.2 Phase analysis 181
11.3 Performance outcome 185
11.4 Recent thoughts and developments 190
11.5 Conclusion 191
11.6 Appendix 192
12 Applied motion analysis
a) Systems of measurement in time-motion analysis —
a case study of soccer
Athalie Redwood֊Broum
12a.l Introduction 198
12a.2 Manual notation systems 199
12a.3 Computerised generic systems 200
12a.4 Human operated/video-based semi-automatic player
tracking systems 204
12a.5 Global positioning systems 207
12a.6 Automatic player tracking systems 210
12a.7 Sensor technology companies 212
12a.8 Comparison studies 213
12a.9 Conclusions 214
b) Some practical notes on GPS systems
Michael T. Hughes, Jo Glubb and Ben Pollard
12b.l Introduction — inside the GPS unit 215
12b.2 GPS 216
12b. 3 Accelerometer 216
12b.4 GPS validity and reliability — a collection of independent
research findings 217
12b.5 GPS application to rugby 220
12b.6 Summary 223
13 Probability analysis of notated events in sports
contests: skill and chance
Tim Me Garry
13.1 Introduction 224
13.2 Skill and chance 224
13.3 Probability: stationarity and independence 225
180
198
198
215
224
Contents lx
13.4 Taking a random walk in a field of probabilities 226
13.5 Investigating sports contests using probability analysis 228
13.6 Football: identifying optimised game strategies for the
penalty shoot-out 229
13.7 Football: the negative binomial distribution of passing
sequences and the shot-to-goal ratio 231
13.8 On the requirement for invariant data for probability
analysis of sports behaviour 233
13.9 Summary 238
14 Dynamic systems and ‘perturbations’
Matthew Robins and Mike Hughes
14.1 Introduction 239
14.2 What is a dynamic system? 239
14.3 The features of a dynamic system 241
14.4 Inter-personal coordination 244
14.5 Perturbations 249
14.6 Conclusions 268
15 Momentum and ‘hot hands’
Mike Hughes, Nic James, Michael T. Hughes, Stafford Murray,
Ed Burt and Luke Heath
15.1 Introduction 270
15.2 The ‘hot hand’ myth 270
15.3 Momentum through notational analysis studies 272
15.4 Summary 290
16 Performance profiling
Mike Hughes, Michael T. Hughes, Nic James, Julia Wells and
Stafford Murray
16.1 Introduction 292
16.2 Processes in creating performance profiles 293
16.3 Profiling in canoeing — a practical example 327
16.4 Conclusions 332
17 Rule changes in sport and the role of notation
Jason Williams
17.1 Introduction 334
17.2 The role of notational analysis in tracking the effect of
rules changes 343
239
270
292
334
x Contents
17.3 Rules and cheating 346
17.4 Conclusion 349
18 Notational analysis of* coaching behaviour
Kenny More and Ewan Cameron
18.1 Introduction: notational analysis and the coaching process 350
18.2 Evolution of the analysis of coaching behaviour 351
18.3 Purpose and examples of published work 354
18.4 Summary 362
19 Performance analysis in the media
Isfic James
19.1 Introduction 363
19.2 Classifying games 364
19.3 Invasion games 364
19.4 Net and wall games 372
19.5 Striking and fielding games 374
19.6 Summary 380
350
363
References and bibliography
Index
381
417
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