Volume

Dagstuhl Seminar Proceedings, Volume 6381

Publication Details

  • published at: 2006-11-24
  • Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik

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Document
DOI: 10.4230/DagSemProc.06381.1
06381 Abstracts Collection – Computer Science in Sports

Authors: Arnold Baca, Larry Katz, Jürgen Perl, and Otto Spaniol

Abstract
From 17.09.06 to 20.09.06, the Dagstuhl Seminar 06381 ``Computer Science in Sport'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

Arnold Baca, Larry Katz, Jürgen Perl, and Otto Spaniol. 06381 Abstracts Collection – Computer Science in Sports. In Computer Science in Sport. Dagstuhl Seminar Proceedings, Volume 6381, pp. 1-13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{baca_et_al:DagSemProc.06381.1,
  author =	{Baca, Arnold and Katz, Larry and Perl, J\"{u}rgen and Spaniol, Otto},
  title =	{{06381 Abstracts Collection – Computer Science in Sports}},
  booktitle =	{Computer Science in Sport},
  pages =	{1--13},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{6381},
  editor =	{Arnold Baca and Larry Katz and J\"{u}rgen Perl and Otto Spaniol},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.06381.1},
  URN =		{urn:nbn:de:0030-drops-8331},
  doi =		{10.4230/DagSemProc.06381.1},
  annote =	{Keywords: Modelling and Simulation, Multimedia, Sports management, Soft computing / computational intelligence E-learning, Distributed games, Interdisciplinary collaboration, Behavioral process analysis, Net-based pattern analysis, Information and communication technology, Game analysis / notational analysis, Training and competition analysis, Training and competition data management, Performance analysis, Biomechanics, Assisted mobility}
}
Document
DOI: 10.4230/DagSemProc.06381.2
06381 Executive Summary – Computer Science in Sport

Authors: Arnold Baca

Abstract
The seminar dealt with a dynamically developing interdisciplinary area, where qualitative and non-deterministic paradigms from Sport like behavioural processes and modelling meet technological and structural paradigms from Computer Science. New demands, new concepts and technologies, and future trends in both disciplines were discussed. Internationally well known researchers as well as researchers from the younger generation participated in this seminar and discussed their recent work and actual tendencies in Computer Science in Sport.
Cite as

Arnold Baca. 06381 Executive Summary – Computer Science in Sport. In Computer Science in Sport. Dagstuhl Seminar Proceedings, Volume 6381, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{baca:DagSemProc.06381.2,
  author =	{Baca, Arnold},
  title =	{{06381 Executive Summary – Computer Science in Sport}},
  booktitle =	{Computer Science in Sport},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{6381},
  editor =	{Arnold Baca and Larry Katz and J\"{u}rgen Perl and Otto Spaniol},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.06381.2},
  URN =		{urn:nbn:de:0030-drops-8184},
  doi =		{10.4230/DagSemProc.06381.2},
  annote =	{Keywords: Modelling, Data acquisition, RoboCup, Biomechanics, Motion tracking, Multimedia}
}
Document
DOI: 10.4230/DagSemProc.06381.3
The future synergy of computer modelling and smart technologies in sport

Authors: Peter Dabnichki

Abstract
Computational modelling in biomechanics and specifically in sport performance has been constantly evolving and developing. However, frequently emphasis has been put sometimes complex modelling and sometimes extremely simplistic techniques that yield results impossible to validate and have little or no practical impact. An example of the former is modelling of cartilage as a multiphase continua and the latter is very evident in a number of publications devoted. However, the problems are normally attributed to modelling but they also lie in the provision of input and validation from both experiments and competition. The above point is illustrated by a practical example of a project on the scale of the propulsive force in swimming. The project relied on combination of computational modelling, experimental data collection including the construction of a robotic arm and data from competition level training sessions. As a result it is now known the level of forces involved in front crawl swimming, and will soon be possible to optimise the stroke trajectory in terms of maximum thrust generated. However, is this sufficient? The human being is not designed to swim so to talk about optimal stroke is ill-founded. Such "optimum" is dependent on physiological constrains and hence more multidisciplinary approach is needed. The problem with the analytical approach presented above is that it enhances the scientific knowledge and understanding but does not show the way ahead in terms of how practically this could be achieved. Currently strong emphasis is given to the rapid feedback provision for the athletes. But this has a lot of limitations as it is hardly rapid and depends on the individual interpretation of the data collected by coaches and technical staff. A parallel development and it up to now a separate one are the so called smart technologies, the best known examples of which are smart materials such as piezoelectric ones and memory shape alloys. Up to know mostly smart materials have been developed and used. They have the propensity to react to change in the environmental parameters. However, their response is limited to a small number of parameters. However, the more recent trend is towards "intelligent" technologies and materials that could offer a variety of responses and differentiate the factors contextually. The author believes that computers will be playing a more prominent role in this development. This is illustrated with some ongoing projects devoted to drug testing and individualised comfort. Possibilities for the use of these novel technologies in sport are discussed. The author strongly believes that such approaches should end the deeply flawed statistical approaches in very near future.
Cite as

Peter Dabnichki. The future synergy of computer modelling and smart technologies in sport. In Computer Science in Sport. Dagstuhl Seminar Proceedings, Volume 6381, pp. 1-12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{dabnichki:DagSemProc.06381.3,
  author =	{Dabnichki, Peter},
  title =	{{The future synergy of computer modelling and smart technologies in sport}},
  booktitle =	{Computer Science in Sport},
  pages =	{1--12},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{6381},
  editor =	{Arnold Baca and Larry Katz and J\"{u}rgen Perl and Otto Spaniol},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.06381.3},
  URN =		{urn:nbn:de:0030-drops-8196},
  doi =		{10.4230/DagSemProc.06381.3},
  annote =	{Keywords: Smart Technologies, Intelligent Systems, Computational Modelling}
}

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  • Baca, Arnold
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  • Dabnichki, Peter
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  • Spaniol, Otto

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