Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference

Description

This covers the PACSS 2021 which approached interdisciplinary collaboration between theoretical computer science and practical performance analysis though an online workshop and conference. Readers find in this book the peer-reviewed and discussed evidences on how computer scientists and performance analysts can and have worked together to solve both applied and research-based problems in elite sport, using the methods of computer science. In this edition, we organize the content according to four major topics: machine learning, text mining, best practice and interdisciplinary collaboration. This is a refined material written by leading experts with up-to-date overview of research in the multidisciplinary field of computer science and elite sport performance analysis. Preface Organization Program Chairs and Committee Invited Keynote Speakers PACSS Organizing Committee PACSS Scientific Committee Contents Keynotes Contributions Text Mining and Performance Analysis 1 Introduction 2 Applications of Text Mining in Performance Analysis 2.1 Evaluation of Technological Officiating Aids 2.2 Scouting 2.3 Predicting Match Outcome 3 Conclusion References Match Analysis 4.0 with Big Data: From Studies to Experiments 1 Introduction 1.1 Career Opportunities in Match Analysis 1.2 Which Data Could Be Used? 1.3 Conclusion References Using Machine Learning to Assess and Compare Athletes in Team Sports 1 The Case for Assessing Players Algorithmically 1.1 Data 2 Some Examples of Action/Player Assessment 2.1 “Not All Passes Are Created Equal” 2.2 “Actions Speak Louder Than Goals” 2.3 “Choke or Shine” 2.4 “Deephoops” 2.5 “Bhostgusters” 2.6 “Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation” 3 Conclusion References Application of Text Mining in Sports Performance Kick It to Me, or Maybe Not – How Player Roles Affect AFL Possessions 1 Introduction 2 Methods 3 Results 4 Discussion 5 Conclusion References Predicting and Understanding Australian Rules Football Using Markov Processes 1 Introduction 1.1 The Leigh Matthews Rule 1.2 Markov Processes in Australian Football 2 Methods 2.1 Data Collection 2.2 Markov Model Specification 3 Results 3.1 Comparing Simulated and Actual Matches 3.2 Accuracy and Calibration of Predictions 4 Discussion 4.1 Applications 4.2 Analysing Kick-In Outcomes 4.3 Conclusion and Future Directions References Interdisciplinarity in Sports Performance Inertial Sensors Containing Device-Based Match Characteristics that Act as Prognosticators of Elite, Male Badminton Players’ Performance Levels 1 Introduction 2 Method 2.1 Participants 2.2 Procedures 2.3 Statistical Analysis 3 Results 3.1 Demographic and Inertial Movement Analysis (IMA) Components 3.2 Individual Match Analysis Results: Player Load and Effort-Related Components 3.3 Individual Match Analysis Results: Heart Rate and Player Load Variant-Related Components 3.4 Binary Forward Stepwise Logistic Regression Results 4 Discussion and Conclusion References Excluding Random Scoring Effects from Soccer Results Using Deserved Points 1 Introduction 2 Methods 3 Results 3.1 08Th of August 2016: VfB Stuttgart – FC St. Pauli 3.2 10Th of March 2019: Arsenal London – Manchester United 4 Conclusion References Passing Networks: An Examination of the Prevalence of Positions in Positional Attack in Handball 1 Introduction 2 Methods 2.1 Sample 2.2 Procedure 2.3 Network Analysis 3 Results 3.1 Micro Level of Analysis 3.2 Macro Level of Analysis 4 Discussion 5 Conclusion References Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees 1 Introduction 2 Aim 3 Data 4 Implementation 4.1 Learning the Coaches’ Style 4.2 Generating Training Plans 5 Results 6 Discussion 7 Conclusion References Flexibility, Stability, and Adaptability of Team Playing Style as Key Determinants of Within-Season Performance in Football 1 Introduction 2 Method 3 Results 4 Discussion 5 Conclusion References Anthropometry, Physical Fitness, Sport-Specific Performance and the Prediction of Performance Level in Young Canoe Sprint Athletes 1 Introduction 2 Method 2.1 Data 2.2 Processing 3 Results 4 Discussion References Deriving Player Types from Soccer Event Data as a Means to Improve Tactical Flexibility 1 Introduction 2 Methods 3 Results 4 Conclusion References Exercise Evaluation Using Time-of-Flight Image Data 1 Introduction 2 Methods 3 Results 4 Discussion and Conclusion References Relation Between Match Outcomes and Discipline in Japan Rugby Top League 1 Introduction 2 Methods 3 Results 4 Discussion and Conclusion References Applications of Machine Learning in Sports Performance Improving Springboard Diving Video Classification Accuracy Through Cumulated Segment Values 1 Introduction 2 Methods 3 Results 4 Conclusion References Towards a Better Understanding of Spinal Differences Between Healthy Subjects and Subjects with Back Pain Using Explainable Artificial Intelligence (XAI) 1 Introduction 2 Methods 3 Results 4 Discussion 5 Conclusion References Predicting Athlete Performance in Team Sports Using Nearest Neighbour Modelling 1 Introduction 2 Methods 2.1 Data Collection 2.2 Data Processing 2.3 Player Similarity 2.4 Similarity Measures 2.5 Comparison Models 2.6 Model Evaluation 3 Results 4 Discussion 5 Limitations and Future Directions 6 Conclusion References Combining Wearable Tracking Data and Deep Learning for Moving Camera Calibration 1 Introduction 2 Methods 2.1 Video and Wearable Player Tracking Data 2.2 Camera Calibration Approaches 3 Results 4 Discussion 4.1 Comparison of Learnt vs. Traditional Camera Calibration Methods 4.2 Limitations and Extensions References Machine Learning for Handball Game Analysis Using Valid Statistics Linked to Victory 1 Introduction 2 Method 2.1 Research Environment 2.2 Data 2.3 Analysis Process 2.4 Evaluation 3 Result 3.1 Evaluation Result 3.2 Importance of Features 4 Discussion References The Impact of External and Internal Load on Recovery Status of Adult Soccer Players: A Machine Learning Approach 1 Introduction 2 Methods 3 Data Analysis 3.1 Experiments 3.2 Model Evaluation 4 Results 5 Discussion References Machine Learning Techniques for Gait Analysis in Skiing 1 Introduction 2 Methods and Data 3 Results 4 Discussion and Conclusion References A Novel Approach to Use a Cost Function to Analyse Ice Skating Characteristics and to Generate Player-Specific Skating Drills in Ice Hockey 1 Introduction 2 Method 2.1 Statistics 3 Results 4 Discussion 4.1 Conclusion References Using a Structured Interactive Peer-to-Peer Video Tool to Facilitate Learning in Development Level Speed Skaters 1 Introduction 2 Methods 3 Results 4 Discussion 4.1 Limitations and Future Studies References Best Practices in Sports Performance InCoPE-App: A Digital Solution to Train Individuals with Dementia. Usability Review Based on Expert User Experiences 1 Background 2 Methods and Results 3 Discussion and Conclusion References The Technology Adoption Behaviour Model: How Internal and External Factors Affect Technology Adoption Behaviours in Canadian High-Performance Sport Coaching 1 Introduction 2 Methods 2.1 Inclusion/Exclusion Criteria 2.2 Statistical Analysis 2.3 Interview 2.4 Data Analysis 3 Results 4 Discussion References How Sports Scientists Explain Their Choice of Wearable 1 Introduction 2 Methods 3 Results 4 Discussion 5 Conclusion References Data-Driven Optimization of Sensor Placement for Pressure Insoles Using Particle Swarm Optimization 1 Introduction 1.1 Related Work 1.2 Methods 1.3 Results 2 Discussion 2.1 Conclusion References Miscellaneous Physical and Motivational Effects of Exergames in Healthy Adults: Overview of Reviews 1 Introduction 2 Methods 2.1 Eligibility Criteria 2.2 Search Strategy 2.3 Data Collection and Analysis 3 Preliminary Results 4 Discussion References The Impact of Order of Performance on Peer-to-Peer Learning of a Lacrosse Ball Pick-Up Skill Through Video Analysis with University Students 1 Introduction 2 Methods 2.1 Tool 2.2 Measurement 2.3 Intervention 3 Results 4 Discussion 4.1 Limitations and Recommendations for Future Studies References Author Index