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Proceedings of the 10th International Symposium on Computer Science in Sports (ISCSS)

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Paul Chung

    1. Haslegrave Building, Loughborough University, Loughborough, United Kingdom

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  2. Andrea Soltoggio

    1. Haslegrave Building, Loughborough University, Loughborough, United Kingdom

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  3. Christian W. Dawson

    1. Haslegrave Building, Loughborough University, Loughborough, United Kingdom

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  4. Qinggang Meng

    1. Haslegrave Building, Loughborough University, Loughborough, United Kingdom

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  5. Matthew Pain

    1. Haslegrave Building, Loughborough University, Loughborough, United Kingdom

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  • Presents new insights discovered by the effective integration of sports with computing tools for data acquisition and analysis, modelling and simulation, decision support, machine learning and data mining, virtual reality and visualisation
  • Presents the results of the biannual International Symposium of Computer Science in Sports (ISCSS) which is a unique forum for dissemination of the latest fast growing developments in these areas, leading to potential high impact in sport sciences and computer science applications
  • Displays the evolution of sports towards better and holistic understanding of biomechanics, exercise physiology, performance development, training techniques, psychology, pedagogy, motor control and learning by progressively highlighting the essential contribution of analytical and decision support techniques from computer science research
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 392)

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Table of contents (33 papers)

  1. Front Matter

    Pages i-xv
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  2. Image Processing in Sport

    1. Front Matter

      Pages 1-1
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    2. Non-Invasive Performance Measurement in Combat Sports

      • Soudeh Kasiri Behendi, Stuart Morgan, Clinton B. Fookes
      Pages 3-10

    3. Comparison between Marker-less Kinect-based and Conventional 2D Motion Analysis System on Vertical Jump Kinematic Properties Measured from Sagittal View

      • Shariman Ismadi Ismail, Effirah Osman, Norasrudin Sulaiman, Rahmat Adnan
      Pages 11-17

    4. Test of ball speed in table tennis based on monocular camera

      • Hui Zhang, Ling-hui Kong, Ye-peng Guan, Jin-ju Hu
      Pages 19-27

    5. Table tennis and computer vision: a monocular event classifier

      • Kevin M. Oldham, Paul W. H. Chung, Eran A. Edirisinghe, Ben. J. Halkon
      Pages 29-32

    6. 3D reconstruction of ball trajectory from a single camera in the ball game

      • Lejun Shen, Qing Liu, Lin Li, Haipeng Yue
      Pages 33-39

  3. IT System for Sport

    1. Front Matter

      Pages 41-41
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    2. Towards a Management Theory for the Introduction of IT Innovations in Top Level Sports

      • Mina Ghorbani, Martin Lames
      Pages 43-49

    3. Information Systems for Top Level Football

      • Thomas Blobel, Martin Lames
      Pages 51-58

    4. Frame by frame playback on the Internet video

      • Chikara Miyaji
      Pages 59-66

  4. AI in Sport

    1. Front Matter

      Pages 67-67
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    2. Computational system for strategy design and match simulation in team sports

      • Leonardo Lamas, Guilherme Otranto, Junior Barrera
      Pages 69-76

    3. Soccer analyses by means of artificial neural networks, automatic pass recognition and Voronoi-cells: An approach of measuring tactical success.

      • Jürgen Perl, Daniel Memmert
      Pages 77-84

    4. An Interval Type-2 Fuzzy Logic Based Classification Model for Testing Single-Leg Balance Performance of Athletes after Knee Surgery

      • Owais Ahmed Malik, S. M. N. Arosha Senanayake
      Pages 85-92

    5. A Comparison of Classification Accuracy for Gender Using Neural Networks Multilayer Perceptron (MLP), Radial Basis Function (RBF) Procedures Compared to Discriminant Function Analysis and Logistic Regression Based on Nine Sports Psychological Constructs to Measure Motivations to Participate in Masters Sports Competing at the 2009 World Masters Games

      • Ian Heazlewood, Joe Walsh, Mike Climstein, Jyrki Kettunen, Kent Adams, Mark DeBeliso
      Pages 93-101

    6. Detection of Individual Ball Possession in Soccer

      • Martin Hoernig, Daniel Link, Michael Herrmann, Bernd Radig, Martin Lames
      Pages 103-107

    7. Towards Better Measurability - IMU-Based Feature Extractors For Motion Performance Evaluation

      • Heike Brock, Yuji Ohgi
      Pages 109-116

  5. Modelling and Analysis

    1. Front Matter

      Pages 117-117
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    2. The Aikido inspiration to safety and efficiency: an investigation on forward roll impact forces

      • Andrea Soltoggio, Bettina Bläsing, Alessandro Moscatelli, Thomas Schack
      Pages 119-127
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Keywords

About this book

This book presents the main scientific results of the 10th International Symposium of Computer Science in Sport (IACSS/ISCSS 2015), sponsored by the International Association of Computer Science in Sport in collaboration with the International Society of Sport Psychology (ISSP), which took place between September 9-11, 2015 at Loughborough, UK. This proceedings aims to build a link between computer science and sport, and reports on results from applying computer science techniques to address a wide number of problems in sport and exercise sciences. It provides a good platform and opportunity for researchers in both computer science and sport to understand and discuss ideas and promote cross-disciplinary research. The strictly reviewed and carefully revised papers cover the following topics:Modelling and Analysis, Artificial Intelligence in Sport, Virtual Reality in Sport,  Neural Cognitive Training,  IT Systems for Sport, Sensing Technologies and Image Processing.

Editors and Affiliations

  • Haslegrave Building, Loughborough University, Loughborough, United Kingdom

    Paul Chung, Andrea Soltoggio, Christian W. Dawson, Qinggang Meng, Matthew Pain

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