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Dagstuhl-Seminar 15382

Modeling and Simulation of Sport Games, Sport Movements, and Adaptations to Training

( 13. Sep – 16. Sep, 2015 )

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Organisatoren

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Motivation

Computational modeling and simulation are essential to analyze human motion and interaction in sports science. Applications range from game analysis, issues in training science like training load-adaptation relationship, motor control & learning, to biomechanical analysis. The motivation of this seminar is to enable an interdisciplinary exchange between sports and computer scientists to advance modeling and simulation technologies in selected fields of applications: sport games, sport movements and adaptations to training.

New challenges appear due to the enormous amount of data being captured within training and competition domains. Problems that will be addressed are: model selection, data representation (i.e., static or dynamic visualization of modeling results), the development of modeling tools for offline and online (real-time) analysis, the use of appropriate validation methods, logistics and methods of dealing with “big data” (i.e. accessing and running analyses on data which is stored across multiple machines), data integrity (i.e. coping with noisy/missing data), and fusing multiple information sources (e.g., vision and wearable sensors).

In the seminar, experts on modeling and simulation from computer science, sport science, and industry are invited to discuss recent developments, problems and future tasks in these fields. The main purpose of this seminar is to discuss the interdisciplinary process of modeling and simulation, with an emphasis in the cooperation between computer scientists and sport scientists as a cornerstone in the advance of this field. The seminar will focus on three application areas: sport games, sport movements, and adaptations to training. In addition, contributions to the epistemic basics of modeling and simulation are welcome.

Concerning financial support and possible reimbursement of travel costs, please contact Mrs. Eva Dorschky: eva.dorschky@fau.de .


Summary

Computational modeling and simulation are essential to analyze human motion and interaction in sport science, sport practice and sport industry. Applications range from game analysis, issues in exercising like training load-adaptation relationship, motor control and learning, to biomechanical analysis. New challenges appear due to the rapid development of information and communication technologies (ICT) as well as the enormous amount of data being captured within training and competition domains. The motivation of this seminar was to enable an interdisciplinary exchange between sports and computer scientists as well as sport practice and industry to advance modeling and simulation technologies in selected fields of applications: sport games, sport movements and adaptations to

From September 13 to September 16, 2015 about 29 representatives of science, practice and industry met at the Leibniz-Zentrum f"ur Informatik in Schloss Dagstuhl to discuss selected issues of modelling and simulation in the application fields of sport games, sport movements and adaptation to training. This seminar was the fifth in a series of seminars addressing computer science in sport, starting in 2006. Based on previously selected issues, four main streams were identified:

  • Validation and model selection
  • Sensing and tracking
  • Subject-specific modelling
  • Training and sport games

The talks addressing these four topics are summarized in this report. They have been arranged according to the three main application fields: sport games, sport movements, and adaptations to training. In addition, generic comments on modeling in industry and science are presented. Moreover, the final discussion is summarized and a conclusion of the seminar is drawn.

Copyright Ricardo Duarte and Björn Eskofier and Martin Rumpf and Josef Wiemeyer

Teilnehmer
  • Arnold Baca (Universität Wien, AT) [dblp]
  • Eva Dorschky (Universität Erlangen - Nürnberg, DE) [dblp]
  • Ricardo Duarte (University of Lisbon, PT) [dblp]
  • Stefan Endler (Universität Mainz, DE) [dblp]
  • Björn Eskofier (Universität Erlangen-Nürnberg, DE) [dblp]
  • Irfan A. Essa (Georgia Institute of Technology - Atlanta, US) [dblp]
  • Hugo Folgado (University of Evora, PT) [dblp]
  • Katrin Hoffmann (TU Darmstadt, DE) [dblp]
  • Anne Danielle Koelewijn (Cleveland State University - Cleveland, US)
  • John Komar (Prozone Sports Ltd. - Leeds, GB & University of Rouen, FR) [dblp]
  • Martin Lames (TU München, DE) [dblp]
  • Roland Leser (Universität Wien, AT) [dblp]
  • Daniel Link (TU München, DE) [dblp]
  • Jim Little (University of British Columbia - Vancouver, CA) [dblp]
  • Stuart Morgan (Australian Institute of Sport - Bruce, AU) [dblp]
  • Bernhard Moser (Software Competence Center - Hagenberg, AT) [dblp]
  • Jürgen Perl (Universität Mainz, DE) [dblp]
  • Robert Rein (Deutsche Sporthochschule Köln, DE) [dblp]
  • Karen Roemer (Central Washington University - Ellensburg, US) [dblp]
  • Martin Rumpf (Universität Bonn, DE) [dblp]
  • Tiago Guedes Russomanno (University of Brasilia, BR)
  • Dietmar Saupe (Universität Konstanz, DE) [dblp]
  • Heiko Schlarb (adidas AG - Herzogenaurach, DE) [dblp]
  • Malte Siegle (Sportradar AG - St. Gallen, CH) [dblp]
  • Michael Stöckl (Universität Wien, AT) [dblp]
  • Antonie van den Bogert (Cleveland State University - Cleveland, US) [dblp]
  • Anna Volossovitch (University of Lisbon, PT) [dblp]
  • Hendrik Weber (DFL GmbH -Frankfurt, DE) [dblp]
  • Josef Wiemeyer (TU Darmstadt, DE) [dblp]

Verwandte Seminare
  • Dagstuhl-Seminar 06381: Computer Science in Sport (2006-09-17 - 2006-09-20) (Details)
  • Dagstuhl-Seminar 08372: Computer Science in Sport - Mission and Methods (2008-09-07 - 2008-09-10) (Details)
  • Dagstuhl-Seminar 11271: Computer Science in Sport - Special emphasis: Football (2011-07-03 - 2011-07-06) (Details)
  • Dagstuhl-Seminar 13272: Computer Science in High Performance Sport - Applications and Implications for Professional Coaching (2013-06-30 - 2013-07-03) (Details)
  • Dagstuhl-Seminar 21411: Machine Learning in Sports (2021-10-10 - 2021-10-15) (Details)
  • Dagstuhl-Seminar 24081: Computational Approaches to Strategy and Tactics in Sports (2024-02-18 - 2024-02-23) (Details)

Klassifikation
  • modelling / simulation

Schlagworte
  • artificial intelligence
  • computer graphics
  • computer vision
  • databases
  • information retrieval
  • modeling
  • simulation
  • ubiquitous computing
  • pattern recognition
  • machine learning
  • big data
  • knowledge discovery
  • data-mining