|
Pattern Recognition methods in digital sports applicationsThe 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, Dr.-Ing. 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 |
---|
Eskofier, Björn ; Hornegger, Joachim ; 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 | Eskofier, Björn ; Kornhuber, Johannes ; Hornegger, Joachim: 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 ; Hornegger, Joachim ; 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 | Eskofier, Björn ; Hartmann, Elmar ; Kühner, P. ; Griffin, J. ; Schlarb, H. ; Schmitt, M. ; Hornegger, Joachim: 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 -. | Eskofier, Björn ; 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 ; Eskofier, Björn ; Hornegger, Joachim: 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 ; Eskofier, Björn ; Hornegger, Joachim: 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 -. | Eskofier, Björn ; 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 ; Eskofier, Björn ; Kugler, Patrick ; Steidl, Ralph ; Hornegger, Joachim ; Winkler, Jürgen: Mobile biometrische Ganganalyse. In: Der Nervenarzt 2011 (2011), No. 12, pp 1604-1611 [doi>10.1007/s00115-011-3329-0] | Eskofier, Björn ; 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] | Schuldhaus, Dominik ; Kugler, Patrick ; Leible, Magnus ; Jensen, Ulf ; Schlarb, Heiko ; Eskofier, Björn: 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 ; Eskofier, Björn: 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. | Eskofier, Björn ; 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] |
Institution: Chair of Computer Science 5 (Pattern Recognition)
|
|
|