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Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017) / / edited by Martin Lames, Dietmar Saupe, Josef Wiemeyer
Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017) / / edited by Martin Lames, Dietmar Saupe, Josef Wiemeyer
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (X, 170 p. 66 illus.)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Artificial intelligence
Sports sciences
Computational Intelligence
Artificial Intelligence
Sport Science
ISBN 3-319-67846-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited lectures -- An Empirical Analysis on European Odds of English Premier League -- Study on the “Hot Match” Effect in Professional Football Leagues -- Artificial Neural Networks Predicting the Outcome of a Throwing Task – Effects of input quantity and quality -- Activity Recognition of Local Muscular Endurance (LME) Exercises using an Inertial Sensor -- Gait stability during shod and barefoot walking and running on a treadmill assessed by correlation entropy -- Statistical Models for Predicting short-term HR Responses to Submaximal interval exercise -- Information Systems for Top-Level Football with Focus on Performance Analysis and Healthy Reference Patterns -- Development of a Real-Time Analysis System for Monitoring Playing Time of Water Polo Players -- Reconstruction of 3D ball/shuttle position by two image points from a Single view -- A Comparison of Smoothing and Filtering Approaches Using Simulated Kinematic Data of Human Movements -- Missing Depth Cues in Virtual Reality Decrease Performance of Three-Dimensional Reaching Movements -- Students’ use of and attitudes towards information and communication technologies in sport education - Cross-sectional surveys over the past 15 years -- A novel multilocus genetic model can predict Muscle fibers Composition.   .
Record Nr. UNINA-9910299889903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019) / / edited by Martin Lames, Alexander Danilov, Egor Timme, Yuri Vassilevski
Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019) / / edited by Martin Lames, Alexander Danilov, Egor Timme, Yuri Vassilevski
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (xxvii, 212 pages) : illustrations
Disciplina 613.71
796.0285
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Sports sciences
Health informatics
Computational Intelligence
Sport Science
Health Informatics
ISBN 3-030-35048-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Assessing the Performances of Soccer Players -- Fitting Motion Models to Contextual Player Behavior -- A Flexible Approach to Football Analytics: Assessment, Modeling and Implementation -- Evaluating the Contribution of Foreign Players by Player Contribution Indicator in Football Leagues -- Performance of Performance Indicators in Football -- A Multi-Dimensional Analytical System of Table Tennis Matches.
Record Nr. UNINA-9910484593903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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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
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