12 Search Results for "Baca, Arnold"

Document
DOI: 10.4230/DagSemProc.08372.8
Use of Self Organizing Maps in Technique Analysis

Authors: Roger Bartlett, Peter Lamb, and Anthony Robbins

Published in: Dagstuhl Seminar Proceedings, Volume 8372, Computer Science in Sport - Mission and Methods (2008)

Abstract
This study looked at the coordination patterns of four participants performing three different basketball shots from different distances. The shots selected were the three-point shot, the free throw shot and the hook shot; the latter was included to encourage a phase transition between shots. We hypothesised lower variability between the three-point and free throw shots compared to the hook shot. The study uses Self-Organizing Maps (SOM) to expose the non-linearity of the movement and to try to explain more specifically what it is about the coordination patterns that make them different or similar. The SOM proved to draw the researcher's attention to aspects of the movement that were not obvious from a visual analysis of the original movement either viewed from video or as computer animation. A speculative link between the observational learning literature on the importance of the kinematics of distal segments in skill acquisition and the visual information a coach or analyst may rely on for qualitative technique analysis was made. Although making the distinction between the three shooting conditions was meant to be a trivial exercise, in many cases for this dataset the SOM output and the natural inclination of the movement analyst did not agree: the SOM may provide a more objective method for explaining movement patterning.
Cite as

Roger Bartlett, Peter Lamb, and Anthony Robbins. Use of Self Organizing Maps in Technique Analysis. In Computer Science in Sport - Mission and Methods. Dagstuhl Seminar Proceedings, Volume 8372, pp. 1-8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{bartlett_et_al:DagSemProc.08372.8,
  author =	{Bartlett, Roger and Lamb, Peter and Robbins, Anthony},
  title =	{{Use of Self Organizing Maps in Technique Analysis}},
  booktitle =	{Computer Science in Sport - Mission and Methods},
  pages =	{1--8},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8372},
  editor =	{Arnold Baca and Martin Lames and Keith Lyons and Bernhard Nebel and Josef Wiemeyer},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08372.8},
  URN =		{urn:nbn:de:0030-drops-17738},
  doi =		{10.4230/DagSemProc.08372.8},
  annote =	{Keywords: Artificial neural networks, basketball shooting, movement coordination, movement variability, self-organizing maps.}
}
Document
DOI: 10.4230/DagSemProc.08372.1
08372 Abstracts Collection – Computer Science in Sport - Mission and Methods

Authors: Arnold Baca, Martin Lames, Keith Lyons, Bernhard Nebel, and Josef Wiemeyer

Published in: Dagstuhl Seminar Proceedings, Volume 8372, Computer Science in Sport - Mission and Methods (2008)

Abstract
From 07.09. to 10.09., the Dagstuhl Seminar 08372 ``Computer Science in Sport - Mission and Methods'' was held in Schloss Dagstuhl - Leibniz Center for Informatics. 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, Martin Lames, Keith Lyons, Bernhard Nebel, and Josef Wiemeyer. 08372 Abstracts Collection – Computer Science in Sport - Mission and Methods. In Computer Science in Sport - Mission and Methods. Dagstuhl Seminar Proceedings, Volume 8372, pp. 1-11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{baca_et_al:DagSemProc.08372.1,
  author =	{Baca, Arnold and Lames, Martin and Lyons, Keith and Nebel, Bernhard and Wiemeyer, Josef},
  title =	{{08372 Abstracts Collection – Computer Science in Sport - Mission and Methods}},
  booktitle =	{Computer Science in Sport - Mission and Methods},
  pages =	{1--11},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8372},
  editor =	{Arnold Baca and Martin Lames and Keith Lyons and Bernhard Nebel and Josef Wiemeyer},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08372.1},
  URN =		{urn:nbn:de:0030-drops-16904},
  doi =		{10.4230/DagSemProc.08372.1},
  annote =	{Keywords: Computer science, modeling, robotics, sport technology, doping}
}
Document
DOI: 10.4230/DagSemProc.08372.2
08372 Executive Summary – Computer Science in Sport - Mission and Methods

Authors: Josef Wiemeyer, Arnold Baca, Martin Lames, Keith Lyons, and Bernhard Nebel

Published in: Dagstuhl Seminar Proceedings, Volume 8372, Computer Science in Sport - Mission and Methods (2008)

Abstract
From September 7 to 10, 2008 about 30 experts from computer science and sport science (see Appendix B) met at the Leibniz-Zentrum für Informatik in Dagstuhl to discuss interdisciplinary issues in the area of computer science in sport. Five topics were selected for discussion (see Appendix A): doping, modeling and simulation, pervasive computing, robotics and sport technology. A total of 17 presentations dealt with selected projects and issues in the above-mentioned fields.
Cite as

Josef Wiemeyer, Arnold Baca, Martin Lames, Keith Lyons, and Bernhard Nebel. 08372 Executive Summary – Computer Science in Sport - Mission and Methods. In Computer Science in Sport - Mission and Methods. Dagstuhl Seminar Proceedings, Volume 8372, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{wiemeyer_et_al:DagSemProc.08372.2,
  author =	{Wiemeyer, Josef and Baca, Arnold and Lames, Martin and Lyons, Keith and Nebel, Bernhard},
  title =	{{08372 Executive Summary – Computer Science in Sport - Mission and Methods}},
  booktitle =	{Computer Science in Sport - Mission and Methods},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8372},
  editor =	{Arnold Baca and Martin Lames and Keith Lyons and Bernhard Nebel and Josef Wiemeyer},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08372.2},
  URN =		{urn:nbn:de:0030-drops-16820},
  doi =		{10.4230/DagSemProc.08372.2},
  annote =	{Keywords: Computer science, modeling, robotics, sport technology, doping}
}
Document
DOI: 10.4230/DagSemProc.08372.3
3D Scene Reconstruction by Stereo Methods for Analysis and Visualization of Sports Scenes

Authors: Margrit Gelautz, Michael Bleyer, Danijela Markovic, and Christoph Rhemann

Published in: Dagstuhl Seminar Proceedings, Volume 8372, Computer Science in Sport - Mission and Methods (2008)

Abstract
The 3D reconstruction of image and video scenes by stereo analysis is an important topic in computer vision research. In this talk, we first present some principles of stereo algorithms and recent developments. We then demonstrate two applications of stereo reconstruction for the analysis and visualization of human movement: (a) We employ depth maps derived from sport scenes for novel view synthesis, and (b) we show how stereo processing can be used for expressive visualization of human motion in a comic-like style.
Cite as

Margrit Gelautz, Michael Bleyer, Danijela Markovic, and Christoph Rhemann. 3D Scene Reconstruction by Stereo Methods for Analysis and Visualization of Sports Scenes. In Computer Science in Sport - Mission and Methods. Dagstuhl Seminar Proceedings, Volume 8372, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{gelautz_et_al:DagSemProc.08372.3,
  author =	{Gelautz, Margrit and Bleyer, Michael and Markovic, Danijela and Rhemann, Christoph},
  title =	{{3D Scene Reconstruction by Stereo Methods for Analysis and Visualization of Sports Scenes}},
  booktitle =	{Computer Science in Sport - Mission and Methods},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8372},
  editor =	{Arnold Baca and Martin Lames and Keith Lyons and Bernhard Nebel and Josef Wiemeyer},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08372.3},
  URN =		{urn:nbn:de:0030-drops-16871},
  doi =		{10.4230/DagSemProc.08372.3},
  annote =	{Keywords: Computer vision, stereo, visualization, novel view synthesis, image stylization}
}
Document
DOI: 10.4230/DagSemProc.08372.4
Acquisition of Performance Parameters in Race-Bike Training

Authors: Thorsten Dahmen and Dietmar Saupe

Published in: Dagstuhl Seminar Proceedings, Volume 8372, Computer Science in Sport - Mission and Methods (2008)

Abstract
We develop methods for data acquisition, analysis, and visualization of performance parameters in endurance sports with emphasis on competitive cycling. For this purpose we created a bicycle simulator based on a Cyclus 2 ergometer and our own PC-based control software. The main components of the simulation are: - a computer controlled pedal resistance according to the height profile of a cycling track - the recording and visualization of training data measurements (speed, cadence, power, heart rate, heightprofile etc.) - and a video display of the cycling track that shows the current position. Our goal is to familiarize cyclists with unknown tracks and optimize their performance by means of training control and performance prediction based on physiological models
Cite as

Thorsten Dahmen and Dietmar Saupe. Acquisition of Performance Parameters in Race-Bike Training. In Computer Science in Sport - Mission and Methods. Dagstuhl Seminar Proceedings, Volume 8372, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{dahmen_et_al:DagSemProc.08372.4,
  author =	{Dahmen, Thorsten and Saupe, Dietmar},
  title =	{{Acquisition of Performance Parameters in Race-Bike Training}},
  booktitle =	{Computer Science in Sport - Mission and Methods},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8372},
  editor =	{Arnold Baca and Martin Lames and Keith Lyons and Bernhard Nebel and Josef Wiemeyer},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08372.4},
  URN =		{urn:nbn:de:0030-drops-16868},
  doi =		{10.4230/DagSemProc.08372.4},
  annote =	{Keywords: Race-bike, ergometer, physiological modeling}
}
Document
DOI: 10.4230/DagSemProc.08372.5
Analysis of Player Motion in Sport Matches

Authors: Janez Pers, Matej Kristan, Matej Perse, and Stanislav Kovacic

Published in: Dagstuhl Seminar Proceedings, Volume 8372, Computer Science in Sport - Mission and Methods (2008)

Abstract
The system for analysis of player motion during sport matches, developed at University of Ljubljana will be presented. The system allows for non-intrusive measurement of positions of all players in indoor sports through whole match using only inexpensive video equipment - cameras mounted on the ceiling of the sports hall. Tracking process (obtaining trajectories from videos) is automatic and only supervised by operator, to initialize player positions at the beginning and correct the mistakes during the tracking. The software provides means for user friendly calibration of video data - using court markings of each supported sport (e.g. european handball, basketball, squash, tennis...) as reference coordinates. Manual annotations can be added, to complement the quantitative data. Software keeps synchronization between annotations and trajectory data and provides means to use custom annotation dictionaries. Due to calibration, the results are provided in court coordinates (meters, centimeters) and can be exported (synchronized with annotations in same file) for further analysis with any application (e.g. excel, SPSS). Software itself supports several kinds of graphical data presentations. If time allows, the software itself will be demonstrated with examples from different sports.
Cite as

Janez Pers, Matej Kristan, Matej Perse, and Stanislav Kovacic. Analysis of Player Motion in Sport Matches. In Computer Science in Sport - Mission and Methods. Dagstuhl Seminar Proceedings, Volume 8372, pp. 1-10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{pers_et_al:DagSemProc.08372.5,
  author =	{Pers, Janez and Kristan, Matej and Perse, Matej and Kovacic, Stanislav},
  title =	{{Analysis of Player Motion in Sport Matches}},
  booktitle =	{Computer Science in Sport - Mission and Methods},
  pages =	{1--10},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8372},
  editor =	{Arnold Baca and Martin Lames and Keith Lyons and Bernhard Nebel and Josef Wiemeyer},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08372.5},
  URN =		{urn:nbn:de:0030-drops-16891},
  doi =		{10.4230/DagSemProc.08372.5},
  annote =	{Keywords: Motion analysis, computer vision, performance analysis}
}
Document
DOI: 10.4230/DagSemProc.08372.6
Learning with Table Soccer

Authors: Dapeng Zhang

Published in: Dagstuhl Seminar Proceedings, Volume 8372, Computer Science in Sport - Mission and Methods (2008)

Abstract
Our research focuses on learning approaches with robot KiRo. KiRo is a table soccer robot which can challenge even advanced human players. Previously, we developed a method using learning by imitation, by which KiRo can automatically acquire the demonstrated actions. Recently, we constructed a game-recorder which collects data from the human-played games. The in-process work is about explaining the recorded data, which is to classify and to evaluate human's skills. A brief overview of the previous work is addressed, and the perspective is discussed.
Cite as

Dapeng Zhang. Learning with Table Soccer. In Computer Science in Sport - Mission and Methods. Dagstuhl Seminar Proceedings, Volume 8372, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{zhang:DagSemProc.08372.6,
  author =	{Zhang, Dapeng},
  title =	{{Learning with Table Soccer}},
  booktitle =	{Computer Science in Sport - Mission and Methods},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8372},
  editor =	{Arnold Baca and Martin Lames and Keith Lyons and Bernhard Nebel and Josef Wiemeyer},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08372.6},
  URN =		{urn:nbn:de:0030-drops-16839},
  doi =		{10.4230/DagSemProc.08372.6},
  annote =	{Keywords: Table Soccer Robot, Learning}
}
Document
DOI: 10.4230/DagSemProc.08372.7
Predictors of metabolic energy expenditure from body acceleration and mechanical energies in new generation active computer games

Authors: Harald Böhm, Matthias Hartmann, and Birgit Böhm

Published in: Dagstuhl Seminar Proceedings, Volume 8372, Computer Science in Sport - Mission and Methods (2008)

Abstract
The following paper is an original research project which uses state of the art sport science physiological and biomechanical approaches to gain information about active computer games. This project is found to be particular relevant for the field of computer science in sport, since biomechanical and physiological knowledge is required to model, track and understand human motion during computer game play.
Cite as

Harald Böhm, Matthias Hartmann, and Birgit Böhm. Predictors of metabolic energy expenditure from body acceleration and mechanical energies in new generation active computer games. In Computer Science in Sport - Mission and Methods. Dagstuhl Seminar Proceedings, Volume 8372, pp. 1-4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{bohm_et_al:DagSemProc.08372.7,
  author =	{B\"{o}hm, Harald and Hartmann, Matthias and B\"{o}hm, Birgit},
  title =	{{Predictors of metabolic energy expenditure from body acceleration and mechanical energies in new generation active computer games}},
  booktitle =	{Computer Science in Sport - Mission and Methods},
  pages =	{1--4},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8372},
  editor =	{Arnold Baca and Martin Lames and Keith Lyons and Bernhard Nebel and Josef Wiemeyer},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08372.7},
  URN =		{urn:nbn:de:0030-drops-16857},
  doi =		{10.4230/DagSemProc.08372.7},
  annote =	{Keywords: Computer games, energy expenditure, health}
}
Document
DOI: 10.4230/DagSemProc.08372.9
Using Affective Technologies to Increase Engagement and Motivation in Fitness and Sports

Authors: Elisabeth André

Published in: Dagstuhl Seminar Proceedings, Volume 8372, Computer Science in Sport - Mission and Methods (2008)

Abstract
Work by Picard and others has created considerable awareness for the role of affect in human-computer interaction. In fact, a strong new field is emerging in computer science: affective computing. In my presentation, I presented first ideas to make use of affective technologies in fitness and sports.
Cite as

Elisabeth André. Using Affective Technologies to Increase Engagement and Motivation in Fitness and Sports. In Computer Science in Sport - Mission and Methods. Dagstuhl Seminar Proceedings, Volume 8372, p. 1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{andre:DagSemProc.08372.9,
  author =	{Andr\'{e}, Elisabeth},
  title =	{{Using Affective Technologies to Increase Engagement and Motivation in Fitness and Sports}},
  booktitle =	{Computer Science in Sport - Mission and Methods},
  pages =	{1--1},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8372},
  editor =	{Arnold Baca and Martin Lames and Keith Lyons and Bernhard Nebel and Josef Wiemeyer},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08372.9},
  URN =		{urn:nbn:de:0030-drops-16842},
  doi =		{10.4230/DagSemProc.08372.9},
  annote =	{Keywords: Affective computing}
}
Document
DOI: 10.4230/DagSemProc.06381.1
06381 Abstracts Collection – Computer Science in Sports

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

Published in: Dagstuhl Seminar Proceedings, Volume 6381, Computer Science in Sport (2006)

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-dev.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

Published in: Dagstuhl Seminar Proceedings, Volume 6381, Computer Science in Sport (2006)

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-dev.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

Published in: Dagstuhl Seminar Proceedings, Volume 6381, Computer Science in Sport (2006)

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-dev.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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