Preface; Organization; Program Chairs; Program Committee; Invited Keynote Speakers; Local Organization Committee; Contents; Predicting Team Sports Results; An Empirical Analysis on European Odds of English Premier League; Abstract; 1 Introduction; 2 Methods; 2.1 Data Sample; 2.2 Initial Odds, Instant Odds and Odds Adjustment Difference; 2.3 Concordance Rate, Draw Rate and Reversal Rate Between Instant Odds and Game Results; 2.4 Odds Difference and Its Classification Standards; 2.5 Odds Difference Coefficient; 2.6 Competitive Balance Entropy (CBE); 3 Results

3.1 The Relationship between Odds and the Winning Percentage3.2 Odds Adjustment Difference; 3.3 CR, DR and RR Between Instant Odds and Game Results; 3.4 CR, DR and RR of Different Odds Difference Levels; 3.5 A Longitudinal Analysis of Changes in CR, DR and RR Between Instant Odds and Game Results; 3.6 The Correlation Between CBE of EPL and Its Initial and Instant ODC; 4 Discussion; 5 Conclusion; References; Study on the "Hot Match" Effect in Professional Football Leagues; Abstract; 1 Introduction; 2 Method; 2.1 Subjects; 2.2 Procedures; 3 Results

3.1 Analysis of the Winning Percentage of Home and Away3.2 Analysis of Winning Percentage with Conditional Probability (Previous Match Outcomes); 3.3 Analysis of the Winning Percentage with Conditional Probability (Home or Away Games and Previous Match Outcomes); 3.4 UNIANOVA of Winning Percentage; 3.5 UNIANOVA of Winning Percentage (Overall Data); 4 Conclusion; References; Modeling and Prediction; Artificial Neural Networks Predicting the Outcome of a Throwing Task
Effects of Input Quantity and ...; Abstract; 1 Introduction; 2 Methods; 2.1 The Motor Task: Virtual Skittles

2.2 Modeling the Task: Multilayer Perceptrons with Different Amounts of Input Information3 Results; 3.1 Descriptive Data of the Test Person's Task Performance; 3.2 Prediction Accuracy Based on Original Input Data (MLP-1 & MLP-2); 3.3 Prediction Accuracy Based on Noisy Input Data (MLP-1b and MLP-2b); 4 Discussion; 5 Conclusion; Acknowledgements; References; Activity Recognition of Local Muscular Endurance (LME) Exercises Using an Inertial Sensor; 1 Introduction; 2 Proposed Framework; 3 Methodology; 3.1 Sensor Calibration and Data Capture; 3.2 Segmentation of Data; 3.3 Feature Extraction

3.4 Feature Reduction Using PCA3.5 Activity Recognition and Repetition Counting; 4 Results; 5 Conclusions; References; Gait Stability During Shod and Barefoot Walking and Running on a Treadmill Assessed by Correlation Entropy; 1 Introduction; 2 Material and Method; 2.1 Procedures; 2.2 Method; 2.3 Statistical Analysis; 3 Results; 4 Discussion; References; Statistical Models for Predicting Short-Term HR Responses to Submaximal Interval Exercise; Abstract; 1 Introduction; 2 Materials and Methods; 2.1 Participants and Apparatus; 2.2 Protocol; 2.3 Data Processing