What to expect in the next 4 years of Computer Science in Sport
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Opening Keynote Address at IACSS09
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What to expect in the next 4 years of Computer Science in Sport
- 1. What to expect in the next 4 years of Computer Science in Sport Arnold Baca Department of Biomechanics, Kinesiology and Applied Computer Science ZSU University of Vienna
- 2. Prof. Heinz Zemanek * 1. 1. 1920 Mailüfterl , 1955 (From: mailuefterl.at/images/mailu/control.jpg )
- 9. Current Trends – This Conference (40 Presentations) Sensors/Wireless Technologies/Tracking 10 Modelling 5 Game/Performance Analysis 5 Data Analysis (Scoring/Ranking) 3 13 To be considered with caution!
- 19. Feedback Systems
- 20. Feedback Systems A. Baca, P. Dabnichki, M. Heller, P. Kornfeind, Journal of Sports Sciences, in press
- 21. Rowing oarlock foot stretcher d y n a m o m e t e r s outrigger
- 23. Table Tennis
- 24. Table Tennis
- 25. Target Athlete Digital Video Camera 50m Biathlon 5m 1m ~1.6m above ground
- 26. Biathlon
- 28. Tracking Systems
- 29. Source: http://www.zonefivesoftware.com/SportTracks / GPS based systems
- 30. Player tracking Radio- & microwave based systems Transponder
- 31. Beetz et al. Proc. 5th Int. Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2006. Player tracking
- 32. Kinematics Bandouch et al.. Proc. 5th Int. Conf. on Articulated Motion and Deformable Objects (AMDO), 2008. Courtesy of M. Beetz, TU Munich
- 35. Leisure and Entertainment Games, e.g. Mountainbike, Marathon Ubiquitous-fitness support Broadcast
- 36. Example: RFID-chips in running
- 37. Example: Training in virtual environments B. Bideau et al. (2003) Presence-Teleoperators and Virtual Environments, 12 (4), 2003.
- 38. Example: Wearable Computing A. Baca, P. Dabnichki, M. Heller, P. Kornfeind, Journal of Sports Sciences , in press Electronic circuits are woven or printed on textiles and allow measuring a variety of physiological parameters directly.
- 39. Example: Wearable Computing 13 th Int. Symposium on Wearable Computers, September 2009, Linz, Austria: Highest potential of “Wearable Computing“‚ in the fields of medicine, health and sport. Gerhard Tröster , Head, Wearable Computing Group and Laboratory, ETH Zurich Application: Monitoring of snowboarders using sensors on the board and the body (clothes) to identify riding mistakes and to improve the style.
- 44. Process models Similarity Analysis: 3 athletes (before/after load, 16 shots) good stability less stable unstable very unstable A 1 A 2 C 1 C 2 D 1 D 2 before physical load after physical load
- 48. Remote Coaching System Overview Expert system
- 49. Remote Coaching – Hardware SPI Analog IN E.g. temperature, air pressure, potentiometer, … Digital I/O E.g. on-off switch, trigger, … ANT Modul Controller Bridge Amplifier Strain gages Force sensors Accelerometer (strain gage based) Memory card „ Managed Networks“
- 50. Sports medicine specialist (physiological data) Biomechanist (dynamometric data) Athlete (e.g. report; + full access) Remote Coaching – Software Expert system Lotus Expeditor DB2-Database Device Manager Lotus Expeditor CLIENT Lotus Expeditor CLIENT
- 51. Remote Coaching Example: Rowing
- 52. Remote Coaching Example: Mountain biking Example: Mountain biking
- 55. Thank you for your attention!
Hinweis der Redaktion
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- Moore's Law describes a long-term trend in the history of computing hardware . Since the invention of the integrated circuit in 1958, the number of transistors that can be placed inexpensively on an integrated circuit has increased exponentially , doubling approximately every two years. [1] The trend has continued for more than half a century and is not expected to stop until 2015 or even later. [2]
- Informatics, because aspects of social science are considered, also. A project proposal on this topic has just been worked out.
- Applicability in biomechanics currently investigated.
- Anwendbarkeit in der Biomechanik sollte sich in den nächsten 4 Jahren entscheiden
- Games: Some developments in collabarative games – no breakthrough. Ubiquitous Fitnes support: e.g. advice for mountain bikers or runners, which direction to go (GPS + heartrate) – e.g. suggestion th run/drive an easier route.
- e.g. Instruction to change gear in order to increase cadence.
- Standardisation – still a challenge. Computer scientists should get aware of the benefit they might get from sport scientists. Benefit for computer scientists: computer games, animation, robotics