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Departments >> Faculty of Engineering >> Department of Computer Science >> Chair of Computer Science 5 (Pattern Recognition) >>
Pattern Recognition methods in digital sports applications

The goal of this research project is to explore the application of methods from pattern recognition to biomechanical and medical problems in the area of digital sports in close collaboration with sports article industry.

A main aspect is hereby the investigation and development of embedded support systems in the area of sports. Embedded systems are omnipresent in many aspects of daily live, e.g. in modern cars, mobile phones or medical implants. Due to the increasing miniaturization of sensors, such systems are also imaginable in the area of sports, where they might support or help athletes. Today it is already possible e.g. to measure the heart rate or speed of a runner and provide this information to the athlete.

Within the scope of this project such concepts shall be explored and improved. To achieve this goal, methods from pattern recognition will be employed to develop novel ways of processing and classifying biomechanical data. The focus will be on the analysis of human movements using kinematic and kinetic parameters, as well as the assessment of muscle activity using electromyography (EMG).

Subsequently the integration of different sensors into sportswear and potential embedded processing methods of the measured signals will be studied. The concepts from pattern recognition will then be used on the embedded systems to extract information of interest from the data and provide it to the user. Examples for such information include the degree of fatigue or assessing the health aspect of certain motion sequences, e.g. running. This will lead to the invention of lightweight, mobile support systems, which can directly support, guide or motivate athletes and might help to prevent possible injuries.

Project manager:
Prof. Dr.-Ing. Joachim Hornegger

Project participants:
Dipl.-Inf. Patrick Kugler, Dipl.-Inf. Ulf Jensen

Keywords:
Pattern Recognition; Digital Sports; Biosignals; Biomechanics; Medical; Embedded Systems

Duration: 1.9.2006 - 31.12.2014

Sponsored by:
adidas AG

Contact:
Kugler, Patrick
E-Mail: patrick.kugler@cs.fau.de
Publications
Oleson, Mark ; Munson, Ian ; Krabbe, Berthold ; DiBenedetto, Christian: Classification of Running Surface on an Embedded System - a Digital Sports Example Application. In: Malberg, Hagen ; Sander-Thömmes, Tilmann ; Wessel, Niels ; Wolf, Werner (Ed.) : Innovationen bei der Erfassung und Analyse bioelektrischer und biomagnetischer Signale (Biosignalverarbeitung 2008 Universität Potsdam 16.-18. Juli 2008). Braunschweig und Berlin : Physikalisch-Technische Bundesanstalt, 2008, pp 147-150. - ISBN 978-3-9810021-7-1
Kornhuber, Johannes ; : Embedded QRS Detection for Noisy ECG Sensor Data Using a Matched Filter and Directed Graph Search. In: Bauernschmitt, Robert ; Chaplygin, Yuri ; Feußner, Hubertus ; Gulyeav, Yuri ; ; Mayr, Ernst ; Navab, Nassir ; Schookin, Sergey ; Selishchev, Sergey ; Umnyashkin, Sergei (Ed.) : Russian-Bavarian Conference on Biomedical Engineering (4th Russian-Bavarian Conference on Biomedical Engineering Moskow Institute of Technology, Zelenograd 8.-9. Juli 2008). 2008, pp 48-52. - ISBN 978-5-7256-0506-8
Hartmann, Elmar ; Kühner, P. ; Griffin, J. ; Schlarb, H. ; Schmitt, M. ; : Real time surveying and monitoring of Athletes Using Mobile Phones and GPS. In: International Journal of Computer Science in Sports 7 (2008), No. 1, pp 18-27
Stirling, Lisa M. ; Kugler, Patrick ; von Tscharner, Vincent: Support Vector Machine Classification of Muscle Intensity during Prolonged Running. In: International Society of Biomechanics (Ed.) : Proceedings-CD (XXII Congress of the International Society of Biomechanics Cape Town, South Africa 05.07.2009 - 09.07.2009). 2009, pp -.
Hönig, Florian ; Kühner, Pascal: Classification of Perceived Running Fatigue in Digital Sports. In: International Association for Pattern Recognition (Ed.) : Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008) (19th International Conference on Pattern Recognition (ICPR 2008) Tampa, Florida, USA December 07, 2008 - December 11, 2008). Tampa, Fl. : Omnipress, 2008, pp no pagination.
Stirling, Lisa ; von Tscharner, Vinzenz ; Kugler, Patrick ; Nigg, Benno: Piper rhythm in the activation of the gastrocnemius medialis during running. In: Journal of Electromyography and Kinesiology 21 (2011), No. 1, pp 178-183
Kugler, Patrick ; Jensen, Ulf ; ; : Feedback-Training mit tragbaren Sensor-Netzwerken. In: Fähnrich, Klaus-Peter ; Franczyk, Bogdan (Ed.) : INFORMATIK 2010 Service Science - Neue Perspektiven für die Informatik - Band 1 (40. Jahrestagung der Gesellschaft für Informatik Leipzig 27.09. - 1.10.2010). Vol. 1. Bonn : Köllen Druck+Verlag, 2010, pp 3-8. (GI-Edition - Lecture Notes in Informatics (LNI) Vol. P-157) - ISBN 978-3-88579-269-7
Huber, Cora ; Göpfert, Beat ; Kugler, Patrick ; von Tscharner, Vinzenz: The Effect of Sprint and Endurance Training on Electromyogram Signal Analysis by Wavelets. In: Journal of Strength & Conditioning Research 24 (2010), No. 6, pp 1527-1536
Kugler, Patrick ; von Tscharner, Vinzenz ; ; : Visualization of Changes in Muscular Activation during Barefoot and Shod Running. In: European Society of Biomechanics (Ed.) : Proceeding of 17th Congress of the European Society of Biomechanics (ESB2010 - 17th Congress of the European Society of Biomechanics Edinburgh, United Kingdom 05.07.2010 - 08.07.2010). 2010, pp -.
Tuexen, Sandra ; Kugler, Patrick ; Jensen, Ulf ; Wright, Ian: Development of Pattern Recognition Methods for Golf Swing Motion Analysis. In: Jiang, Yong ; Zhang, Hui (Ed.) : Proceedings of the IACSS 2013 (9th International Symposium on Computer Science in Sport Shanghai, P.R. China 21.09.2011). 2011, pp 71-75. - ISBN 978-1-84626-087-2
Klucken, Jochen ; Barth, Jens ; Maertens, Katharina ; ; Kugler, Patrick ; Steidl, Ralph ; ; Winkler, Jürgen: Mobile biometrische Ganganalyse. In: Der Nervenarzt 2011 (2011), No. 12, pp 1604-1611
[doi>10.1007/s00115-011-3329-0]
Federolf, Peter ; Kugler, Patrick ; Nigg, Benno: Young-Elderly Gait Classification Via PCA Feature Extraction And SVMs. In: Hamza, M. ; Zhang, J. (Ed.) : Proceedings of the SPPRA 2011 (Signal Processing, Pattern Recognition, and Applications Innsbruck 16.02.2011). 2011.
[doi>10.2316/P.2011.721-092]
Kugler, Patrick ; Leible, Magnus ; Jensen, Ulf ; Schlarb, Heiko ; : Classification of Surfaces and Inclinations During Outdoor Running Using Shoe-Mounted Inertial Sensors. In: Institute of Electrical and Electronics Engineers (IEEE) (Ed.) : Pattern Recognition (ICPR), 2012 21st International Conference on (21st International Conference on Pattern Recognition Tsukuba, Japan November 11-15, 2012 12). 2012, pp 2258-2261.
Kugler, Patrick ; Schlarb, Heiko ; Jörg, Blinn ; Picard, Antoni ; : A Wireless Trigger for Synchronization of Wearable Sensors to External Systems during Recording of Human Gait. In: IEEE Engineering in Medicine and Biology Society (Ed.) : Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE (34th Annual International Conference of the IEEE EMBS San Diego, USA August 28 - September 1, 2012). 2012, pp n/a.
Kugler, Patrick ; Melzer, Daniel ; Kuehner, Pascal: Embedded Classification of the Perceived Fatigue State of Runners: Towards a Body Sensor Network for Assessing the Fatigue State during Running. In: Institute of Electrical and Electronics Engineers (IEEE) ; Yang, Guang-Zhong (Ed.) : Wearable and Implantable Body Sensor Networks (BSN), 2012 Ninth International Conference on (Ninth International Conference on Wearable and Implantable Body Sensor Networks (BSN) London, UK 9-12 May 2012). 2012, pp 113-117.
[doi>10.1109/BSN.2012.4]
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