LEADER 10006nam 2200493 450 001 9910559392103321 005 20231110224420.0 010 $a3-030-99333-7 035 $a(MiAaPQ)EBC6950790 035 $a(Au-PeEL)EBL6950790 035 $a(CKB)21500802400041 035 $a(PPN)262169444 035 $a(EXLCZ)9921500802400041 100 $a20221117d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aProceedings of the 9th International Performance Analysis Workshop and Conference and 5th IACSS conference /$fArnold Baca [and four others] 210 1$aCham, Switzerland :$cSpringer,$d[2022] 210 4$d©2022 215 $a1 online resource (188 pages) 225 1 $aAdvances in Intelligent Systems and Computing ;$vv.1426 311 08$aPrint version: Baca, Arnold Proceedings of the 9th International Performance Analysis Workshop and Conference and 5th IACSS Conference Cham : Springer International Publishing AG,c2022 9783030993320 327 $aIntro -- 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. 327 $aInertial 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. 327 $a2.2 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. 327 $a2.3 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. 327 $a1.1 Related Work -- 1.2 Methods -- 1.3 Results -- 2 Discussion -- 2.1 Conclusion -- References -- Miscellaneous -- Physical and Motivational Effects of Exergames in Healthy Adults: Overview of Reviews -- 1 Introduction -- 2 Methods -- 2.1 Eligibility Criteria -- 2.2 Search Strategy -- 2.3 Data Collection and Analysis -- 3 Preliminary Results -- 4 Discussion -- References -- The Impact of Order of Performance on Peer-to-Peer Learning of a Lacrosse Ball Pick-Up Skill Through Video Analysis with University Students -- 1 Introduction -- 2 Methods -- 2.1 Tool -- 2.2 Measurement -- 2.3 Intervention -- 3 Results -- 4 Discussion -- 4.1 Limitations and Recommendations for Future Studies -- References -- Author Index. 410 0$aAdvances in Intelligent Systems and Computing 606 $aComputer science$vCongresses 606 $aSports sciences$xElectronic equipment 615 0$aComputer science 615 0$aSports sciences$xElectronic equipment. 676 $a004 702 $aBaca$b Arnold 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910559392103321 996 $aProceedings of the 9th International Performance Analysis Workshop and Conference and 5th IACSS Conference$92832650 997 $aUNINA