Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Proceedings of the 14th International Symposium on Computer Science in Sport (IACSS 2023)
| Proceedings of the 14th International Symposium on Computer Science in Sport (IACSS 2023) |
| Autore | Zhang Hui |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (183 pages) |
| Altri autori (Persone) |
LamesMartin
BacaArnold WuYingcai |
| Collana | Lecture Notes on Data Engineering and Communications Technologies Series |
| ISBN | 981-9728-98-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Invited Lectures -- Machine Learning in Performance Analysis - Kings' Roads and Blind Alleys -- Unleashing the Power of Technology: Revolutionizing Sports Coaching and Teaching -- Innovative Approaches to the Use of Practical Sports Analysis Tools in Education and AI Research -- Processing and analyzing sports videos with interactive visualizations -- 5 Big Questions for Technology and AI in High Performance Sport -- Contents -- Machine Learning Based Automatic Effective Round Segmentation Method for Table Tennis -- 1 Introduction -- 2 Related Works -- 3 The Process and Detail Design of the Proposed Method -- 3.1 Major Components and Overall Process of the Proposed Method -- 3.2 Design of Action Recognition Module -- 3.3 Design of Key Frame Discrimination Module -- 3.4 Design of Automatic Segmentation Module -- 4 Experimental Evaluation -- 4.1 Datasets -- 4.2 Evaluation and Results -- 5 Conclusion -- References -- Automatic Formation Recognition in Handball Using Template Matching -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- A Finite Element Model to Predict Shear Deformation in Running Shoe Midsoles During the Foot Strike -- 1 Introduction -- 2 Methods -- 2.1 FE Model -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Research Progress of Sports Injury Prediction Model Based on Machine Learning -- 1 Introduction -- 2 Steps for Constructing the Early Warning Model of Sports Injury -- 3 Machine Learning-Based Feature Extraction for Sports Injury Warning Models -- 3.1 Types of Indicators Incorporated into the Features of the Early Warning Model for Sports Injuries -- 3.2 Features Indicator Weights for Sports Injury Early Warning Models -- 4 Machine Learning-Based Training for Sports Injury Early Warning Models.
5 Evaluation and Optimisation of Machine Learning-Based Early Warning Models for Sports Injuries -- 6 Summary of the Study -- References -- Expert's Gaze-Based Prediction Model for Assessing the Quality of Figure Skating Jumps -- 1 Introduction -- 2 Method -- 2.1 Tracking Gaze Locations of Experts -- 2.2 Action Quality Assessment Model of Figure Skating Jump -- 3 Result -- 3.1 Gaze Location -- 3.2 Action Quality Assessment Model -- 4 Discussion -- 5 Conclusion -- References -- Low-Cost Virtual Reality: A Promising Tool for Positive Mood States and Enjoyable Exercise in Healthy Individuals -- 1 Introduction -- 2 Materials and Method -- 2.1 Sample -- 2.2 Virtual Reality Solution -- 2.3 Experimental Protocol and Measurements -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Game-Theoretic Analysis of Tactic Usage in Elite Female Table Tennis Players -- 1 Introduction -- 2 Methods -- 2.1 Data -- 2.2 Model Construction -- 2.3 Optimal Tactic Calculation -- 3 Results -- 4 Conclusion and Discussion -- References -- Validity of OpenPose Key Point Recognition and Performance Analysis in Taekwondo -- 1 Introduction -- 1.1 Current State of Kinematics Analysis in Taekwondo -- 1.2 Markerless Motion Capture -- 1.3 Research Aim -- 2 Method -- 2.1 Set Up -- 2.2 Data Processing -- 2.3 Data Analysis -- 3 Result -- 3.1 Validation -- 3.2 Performance Analysis -- 4 Discussion -- 4.1 Validation -- 4.2 Performance Analysis -- 5 Limitation -- 5.1 Subject -- 5.2 Study Design -- References -- Analysis of Sabermetrics in KBO League from 2020 to 2022 -- 1 Introduction -- 2 Method -- 2.1 Sample and Instruments -- 2.2 Data Processing -- 3 Result -- 3.1 2020 to 2022 Team Rankings and Records -- 3.2 Correlation Analysis Results -- 4 Discussion and Conclusion -- References -- Net-Kill Opportunity Created by Smash in Badminton Doubles -- 1 Introduction. 2 Smash in Women Singles and Women Doubles -- 3 Net-Kill Opportunity Belt -- 4 Smash Parameters in Women Doubles -- 5 How to Create a Net-Kill Opportunity -- 6 Conclusions -- References -- An Analysis of Macro-influencing Factors of FIFA World Cup Competition Performance: Based on the SPLISS Theory Perspective -- 1 Introduction -- 2 Data, Variables and Models -- 2.1 Participants -- 2.2 Variables -- 2.3 Model Construction -- 3 Results -- 3.1 Fixed Effects Analysis -- 3.2 Random Effects Analysis -- 4 Conclusion and Discussion -- References -- Clustering Winner Strokes in Professional Tennis Matches -- 1 Introduction -- 2 Methods -- 2.1 Data Collection and Cleansing -- 2.2 Data Reconstruction -- 2.3 Clustering -- 2.4 Kernel Density Estimation -- 2.5 Division of Tennis Court Areas -- 3 Results -- 4 Discussion -- 5 Limitations -- 6 Conclusion -- References -- Effects of Distance from the Net at the Hitting Point and Hitting Height on the Outcome of High-Level Men's Singles Badminton -- 1 Introduction -- 2 Methods -- 2.1 Match Samples -- 2.2 Reconstruction of 3D Ball/shuttle Position by Two Image Points from a Single View -- 2.3 The Algorithm for the Heat Maps -- 3 Results -- 3.1 Limitations of Stroke Height and Distance from the Net on Technical Play -- 3.2 Importance of Stroke Height in Scoring During Badminton Competitions -- 3.3 Effect of Distance from the Net on Scoring -- 4 Discussion -- 5 Conclusions -- References -- Factors Affecting NBA Player Draft Selection: An Analysis Based on a Generalized Linear Mixed Model -- 1 Introduction -- 1.1 Background and Rationale -- 1.2 Aims and Significance -- 2 Methods -- 2.1 Sample -- 2.2 Dependent Variable -- 2.3 Fixed Effects -- 2.4 Random Effect -- 2.5 Generalized Linear Mixed Model -- 3 Results -- 3.1 Descriptive Statistics of Independent Variables -- 3.2 Analysis of Fixed Effects. 3.3 Analysis of Random Effects -- 4 Discussion -- 4.1 Multidimensionality in Evaluating NBA Player Draft Value -- 4.2 Complexity in Evaluating NBA Player Draft Value -- 4.3 Random Effects in Player Draft Value -- 4.4 Limitations -- 4.5 Future Research -- 5 Conclusion -- References -- Integration of Digital Tools in Training and Sports Education -- 1 Introduction -- 2 Methods -- 3 Results -- 3.1 Policies in EU Countries and EU-Funded Projects -- 3.2 Literature Review -- 3.3 Survey -- 4 Discussion -- References -- Momentum and Gender in Elite Recurve Archery -- 1 Introduction -- 2 Method -- 2.1 Recurve Archery -- 2.2 Subjects -- 2.3 Procedures -- 3 Results -- 4 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910864193903321 |
Zhang Hui
|
||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the 9th International Performance Analysis Workshop and Conference and 5th IACSS conference / / Arnold Baca [and four others]
| Proceedings of the 9th International Performance Analysis Workshop and Conference and 5th IACSS conference / / Arnold Baca [and four others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (188 pages) |
| Disciplina | 004 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computer science
Sports sciences - Electronic equipment |
| ISBN | 3-030-99333-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- 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. |
| Record Nr. | UNINA-9910559392103321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||