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Post-Desktop User Interfaces

Post-Desktop User Interfaces. Improving sports performance with wearable computing Seminar at the Media Computing Group WS 06/07 Prof. Dr. Borchers Advisor: Daniel Spelmezan. Contents. Introduction Technology Overview Different approaches on improvement: Motion detection and analysis

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Post-Desktop User Interfaces

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  1. Post-Desktop User Interfaces Improving sports performance with wearable computing Seminar at the Media Computing GroupWS 06/07Prof. Dr. BorchersAdvisor: Daniel Spelmezan

  2. Contents • Introduction • Technology Overview • Different approaches on improvement: • Motion detection and analysis • Dynamic training support • Support for judging • Conclusion

  3. Introduction • Two different types of athletes: • Professional • Hobby • Different goals in sports improvement: • Defeat rivals • Push own limits • Improve quality of life

  4. Introduction • Benefits of ubiquitous computing in sports: • Keeping up with increasing standards • Improvement of trainer-athlete communication • Instruments to analyze athletes’ movements • Motivation support

  5. Introduction • Growing importance of computer science in sports: • Ubiquitous computing technologies for movement analysis • Sensors embedded in sportswear • This work focuses on wearable computing approaches • Overview over existing projects and possible near future work

  6. Technology overview

  7. Technology overview • Accelerometer • Gyroscopes

  8. ApplicationsMotion Analysis

  9. Motion AnalysisKinematical analysis of sports form: Golf swing

  10. Motion analysisKinematical analysis of sports form: Golf Swing • Inherent problems in current sports measurement systems: • Too low resolution • Visibility of marking points • Efficient evaluation

  11. Motion analysisKinematical analysis of sports form: Golf Swing • New system employs 3D gyro sensors, a high-speed camera, and a microphone • Introduction of a rod-and-link model of the human body • Link model is used to estimate translation • Applied to measure golf-driver swing

  12. Motion analysisKinematical analysis of sports form: Golf Swing Link model

  13. Motion analysisKinematical analysis of sports form: Golf Swing • Gyro sensors measure 3D angular velocities • Microphone records impact sound to synchronize impact timing • High-speed camera shoots 2000 frames per second to capture the swing • Rating criteria from training books

  14. Motion analysisKinematical analysis of sports form: Golf Swing

  15. Motion AnalysisSound feedback for powerful Karate training

  16. Motion analysisSound feedback for powerful Karate training • Difficulty to detect detailed motions in martial arts using image processing • Introducing a system for generating sound feedback during Karate training

  17. Motion analysisSound feedback for powerful Karate training • Firstly: Feedback on correct timing • Secondly: Focus on correct performance • Motivation by sound feedback

  18. Motion analysisSound feedback for powerful Karate training • Efficient help to confirm skills and improvements during training • Limited • Avoid confusing the user

  19. Motion AnalysisTowards recognizing Tai Chi - An initial Experiment

  20. Motion analysisTowards recognizing Tai Chi - An initial Experiment • Analysis to what extent cheap wearable sensor are adequate for automatic recognition of fast and involved movements.

  21. Motion analysisTowards recognizing Tai Chi - An initial Experiment • The experts’ signal is smoother and more periodical than in the amateurs’ data • More experimental trials with more subjects of different skill levels

  22. Motion AnalysisCombining body and visual sensors for motion tracking

  23. Motion analysisCombining body and visual sensors for motion tracking

  24. Motion analysisCombining body and visual sensors for motion tracking • Wireless body sensors • Introduction of motion chunks • Motions are structured and analyzed sequentially

  25. Motion analysisCombining body and visual sensors for motion tracking • Motions are divided into atomic units:

  26. Motion analysisCombining body and visual sensors for motion tracking • Relevant motions are detected • Comparison with ten different reference chunks in a database • Once an input motion is detected, a motion training video is generated from a database

  27. Motion AnalysisSensing and Monitoring Professional Skiers

  28. Motion analysisSensing and Monitoring Professional Skiers • Trainers and athletes have a different point of view • Need for communication improvement

  29. Motion analysisSensing and Monitoring Professional Skiers • Body sensors and video recording

  30. Motion analysisSensing and Monitoring Professional Skiers • Leanings of the athlete • Edging angle distance • Dynamics • Not realized: speed measuring • Software to analyze and visualize acquired data

  31. Motion analysisSensing and Monitoring Professional Skiers

  32. Motion analysisSensing and Monitoring Professional Skiers • Evaluation with four high level ski trainers • Most valuable: Edging angle distance measurement • New ideas brought in

  33. ApplicationsDynamic Training Support

  34. Dynamic Training SupportMobile Personal Trainer

  35. Dynamic Training SupportMobile Personal Trainer (MOPET) • Mobile guide during fitness activities • Experimental evaluation test with positive result

  36. Dynamic Training SupportPersonalized Music System For Motivation

  37. Dynamic Training SupportPersonalized Music System For Motivation • Motivational support • Training control • Help to plan training • Measurement of the training progress

  38. Dynamic Training SupportPersonalized Music System For Motivation • Preparation, exercise and feedback stage

  39. Dynamic Training SupportPersonalized Music System For Motivation • Three modes to control the user’s performance: • Pace-fixing mode: • User adapts • Pace-matching mode: • Music adapts • Pace-influencing mode : • Music adapts according to training mode • Very close to readiness for marketing

  40. Applications For Judging

  41. Applications for judging • Not necessarily improving sports performance directly • Support judges or referees • Promoting fairness

  42. Applications for judgingForce sensing body protectors for martial arts • Piezoelectric sensors in Teakwondo body protectors • To support judges, not replace them

  43. Applications for judgingBugged Balls For Tough Calls • Supporting referees on tough calls • Tested during the 2005 U17 world cup in Peru

  44. Conclusion • Several different approaches • Some systems almost ready to appear on the market • Major innovations are software related

  45. Conclusion • Still some shortcomings, e.g.: • Missing functioning speed measurement in ski system • complex user calibration of the golf system

  46. Conclusion • Inclusion of practitioners in development • Ease of use and robustness • Combinations of the presented systems

  47. References • Florian Michahelles and Bernt Schiele. Sensing and monitoring professional skiers, 2005. • Florian Michahelles. Improving professional skiing through sensors, 2004. • Masami Takahata, Kensuke Shiraki, Yutaka Sakane, and Yoichi Takebayashi. Sound feedback for powerful karate training, 2004. • Ka jiro Watanabe and Masaki Hokari. Kinematical analysis and measurement of sports form, 2006. • Gertjan Wijnalda, Steffen Pauws, Fabio Vignoli, and Heiner Stuckenschmidt. A personalized music system for motivation in sport performance, 2005. References • Fabio Buttussi, Luca Chittaro, and Daniele Nadalutti. Bringing mobile guides and fitness activities together: A solution based on an embodied virtual trainer, 2006. • Ed H. Chi. Introducing wearable force sensors in martial arts, 2005. • Kai Kunze, Michael Barry, Ernst A. Heinz, Paul Lukowicz, Dennis Majoe, and Jürg Gutknecht. Towards recognizing Tai Chi - an initial experiment using wearable sensors. 2006. • Doo Young Kwon and Markus Gross. Combining body sensors and visual sensors for motion training, 2005.

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