Ubiquitous computing in sports: A review and analysis

Abstract Ubiquitous (pervasive) computing is a term for a synergetic use of sensing, communication and computing. Pervasive use of computing has seen a rapid increase in the current decade. This development has propagated in applied sport science and everyday life. The work presents a survey of recent developments in sport and leisure with emphasis on technology and computational techniques. A detailed analysis on new technological developments is performed. Sensors for position and motion detection, and such for equipment and physiological monitoring are discussed. Aspects of novel trends in communication technologies and data processing are outlined. Computational advancements have started a new trend – development of smart and intelligent systems for a wide range of applications – from model-based posture recognition to context awareness algorithms for nutrition monitoring. Examples particular to coaching and training are discussed. Selected tools for monitoring rules' compliance and automatic decision-making are outlined. Finally, applications in leisure and entertainment are presented, from systems supporting physical activity to systems providing motivation. It is concluded that the emphasis in future will shift from technologies to intelligent systems that allow for enhanced social interaction as efforts need to be made to improve user-friendliness and standardisation of measurement and transmission protocols.

[1]  Thomas Mauthner,et al.  A Robust Multiple Object Tracking for Sport Applications , 2007 .

[2]  Nanning Zheng,et al.  Pseudo Measurement Based Multiple Model Approach for Robust Player Tracking , 2006, ACCV.

[3]  Jitendra Malik,et al.  Recognizing action at a distance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[4]  H. Kwakernaak,et al.  Feedback Systems , 2009, Encyclopedia of Database Systems.

[5]  Paul Lukowicz,et al.  Gesture spotting with body-worn inertial sensors to detect user activities , 2008, Pattern Recognit..

[6]  John R. Kender,et al.  Robust Methods and Representations for Soccer Player Tracking and Collision Resolution , 2005, CIVR.

[7]  Ed H. Chi,et al.  Introducing wearable force sensors in martial arts , 2005, IEEE Pervasive Computing.

[8]  Howard Rheingold,et al.  Virtual Reality , 1991 .

[9]  P. Larsson,et al.  Global Positioning System and Sport-Specific Testing , 2003, Sports medicine.

[10]  Xiumin Fan,et al.  Full Bicycle Dynamic Model for Interactive Bicycle Simulator , 2005, J. Comput. Inf. Sci. Eng..

[11]  Daniel Arthur James,et al.  A wireless-sensor scoring and training system for combative sports , 2005, SPIE Micro + Nano Materials, Devices, and Applications.

[12]  Karin Henriksson-Larsén,et al.  Analysis of performance in orienteering with treadmill tests and physiological field tests using a differential global positioning system , 2002, Journal of sports sciences.

[13]  Andrew P. Bradley,et al.  Player Tracking and Stroke Recognition in Tennis Video , 2003 .

[14]  Björn Eskofier,et al.  Real Time Surveying and Monitoring of Athletes Using Mobile Phones and GPS , 2008, Int. J. Comput. Sci. Sport.

[15]  Gerhard Tröster,et al.  Probabilistic parsing of dietary activity events , 2007, BSN.

[16]  Glenne.  Reducing On-Snow Vibrations of Skis and , .

[17]  Ed Huai-hsin Chi,et al.  "Killer App" of wearable computing: wireless force sensing body protectors for martial arts , 2004, UIST '04.

[18]  Kevan E Williams.  Perfect practice makes perfect. , 2005, JEMS : a journal of emergency medical services.

[19]  Gerhard Tröster,et al.  Recognition of dietary activity events using on-body sensors , 2008, Artif. Intell. Medicine.

[20]  Dennis Pfisterer,et al.  Praxiserfahrungen mit MarathonNet – Ein mobiles Sensornetz im Sport , 2006, PIK Prax. Informationsverarbeitung Kommun..

[21]  Dennis Pfisterer,et al.  MarathonNet: adding value to large scale sport events - a connectivity analysis , 2006, InterSense '06.

[22]  Thomas B. Moeslund,et al.  A Survey of Computer Vision-Based Human Motion Capture , 2001, Comput. Vis. Image Underst..

[23]  Albrecht Schmidt,et al.  Designing Ubiquitous Computing Systems for Sports Equipment , 2007, Fifth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom'07).

[24]  Stephan Rusdorf,et al.  Real-Time Interaction with a Humanoid Avatar in an Immersive Table Tennis Simulation , 2007, IEEE Transactions on Visualization and Computer Graphics.

[25]  Peter Dabnichki.  Modelling, Computing and Sport , 2008, Informatik-Spektrum.

[26]  Hideo Saito,et al.  Parallel tracking of all soccer players by integrating detected positions in multiple view images , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[27]  Carl Machover,et al.  Virtual reality , 1994, IEEE Computer Graphics and Applications.

[28]  Jose B. Cruz,et al.  Feedback systems , 1971 .

[29]  V. Di Salvo,et al.  Performance Characteristics According to Playing Position in Elite Soccer , 2006, International journal of sports medicine.

[30]  Y Schutz,et al.  High-precision satellite positioning system as a new tool to study the biomechanics of human locomotion. , 2000, Journal of biomechanics.

[31]  Perttu Hämäläinen,et al.  Shadow boxer: a physically interactive fitness game , 2004, NordiCHI '04.

[32]  David A. Forsyth,et al.  Tracking People by Learning Their Appearance , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[33]  S Armstrong,et al.  Wireless connectivity for health and sports monitoring: a review , 2007, British Journal of Sports Medicine.

[34]  Jake K. Aggarwal,et al.  Simultaneous tracking of multiple body parts of interacting persons , 2006, Comput. Vis. Image Underst..

[35]  Peter H. N. de With,et al.  Fast camera calibration for the analysis of sport sequences , 2005, 2005 IEEE International Conference on Multimedia and Expo.

[36]  Bodo Rosenhahn,et al.  A System for Marker-Less Human Motion Estimation , 2005, DAGM-Symposium.

[37]  Michael Beetz,et al.  Computerized real-time analysis of football games , 2005, IEEE Pervasive Computing.

[38]  Arnold Baca,et al.  Rapid Feedback Systems for Elite Sports Training , 2006, IEEE Pervasive Computing.

[39]  Paulo Dias,et al.  3D Reconstruction of Soccer Sequences Using Non-calibrated Video Cameras , 2007, ICIAR.

[40]  J. Ro,et al.  Flexural Vibration Control of the Circular Handlebars of a Bicycle by Using MFC Actuators , 2007 .

[41]  Daniel Arthur James,et al.  Classification of Aerial Acrobatics in Elite Half-Pipe Snowboarding Using Body Mounted Inertial Sensors , 2008 .

[42]  A Less,et al.  Computers in sport. , 1985, Applied ergonomics.

[43]  C. Castagna,et al.  Variation in top level soccer match performance. , 2007, International journal of sports medicine.

[44]  Adrian Hilton,et al.  A survey of advances in vision-based human motion capture and analysis , 2006, Comput. Vis. Image Underst..

[45]  S. Carter,et al.  Pervasive computing in sports training , 2005, IEEE Pervasive Comput..

[46]  Florian Michahelles,et al.  Sensing and monitoring professional skiers , 2005, IEEE Pervasive Computing.

[47]  Ed H. Chi.  Sensors And Ubiquitous ComputingTechnologies In Sports , 2008 .

[48]  Yongdong Zhang,et al.  Automatic Detection and Recognition of Athlete Actions in Diving Video , 2007, MMM.

[49]  Ian M Franks,et al.  Advances in the application of information technology to sport performance , 2002, Journal of sports sciences.

[50]  C. Worringham,et al.  Assessment of speed and position during human locomotion using nondifferential GPS. , 2008, Medicine and science in sports and exercise.

[51]  Wen Gao,et al.  Extracting 3D information from broadcast soccer video , 2006, Image Vis. Comput..

[52]  Volker Wulf,et al.  Ubiquitous Fitness Support Starts in Everyday’s Context , 2006 .

[53]  Perttu Hämäläinen,et al.  Martial arts in artificial reality , 2005, CHI.

[54]  Martin Lames,et al.  Coaching and computer science , 2008 .

[55]  Constanze Loschner,et al.  Biomechanics feedback for rowing , 2002, Journal of sports sciences.

[56]  Balasubramanian Raman,et al.  Automated Stroke Classification in Tennis , 2007, ICIAR.