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miLife - an innovative wearable computing platform for data analysis of wearable sensors to be used in team sports and healthBody Sensor Networks are getting more and more important in
sports and
health. Currently, various isolated applications exist that
use body
sensors to assist athletes and monitor elderly people.
Systems like the
adidas miCoach and Nike+ prove the potential of information
and
communication engineering technology for manufacturers of
sports
equipment. The perfect product for a leading position in
this market would
be a central, flexible and generic wearable computing
platform instead of
isolated applications. To facilitate such a solution,
sensors integration
in clothing and sports equipment and data analysis
capabilities have to be
substantially advanced. Additionally, to succeed on the
market, new
communication and sensor technologies as well as innovative
applications
have to be developed.The goal of the project is to bundle and enhance the
expertise of the
project partners in the described field to develop
innovative products.
The existing miCoach platform will be the basis for a
comprehensive
communication and application platform for body sensor
network data called
"miLife". This platform will provide flexible sensor
connection, data
analysis and social networking capabilities for applications
in team
sports, exercise motivation and health monitoring.
| Project manager: Prof. Dr. Björn Eskofier
Project participants: Dr.-Ing. Ulf Jensen, Dipl.-Ing. Dominik Schuldhaus, Frank A. Dassler, Dr. Berthold Krabbe, Walter Greul, Ralph Steidl, Prof. Dr. med. Johannes Kornhuber, Prof. Dr.-Ing. Joachim Hornegger, Dr.-Ing. Heike Leutheuser
Keywords: Digital Sports; Pattern Recognition; Sports Data Analysis; Wearables; Body Sensor Networks; Embedded Classification
Duration: 1.8.2011 - 31.10.2014
Sponsored by: Bayerische Staatsministerium für Wirtschaft, Infrastruktur, Verkehr und Technologie
Mitwirkende Institutionen: adidas AG Astrum IT GmbH Psychiatrische und Psychotherapeutische Klinik
Contact: Eskofier, Björn E-Mail: bjoern.eskofier@fau.de
| Publications |
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Kugler, Patrick ; Schuldhaus, Dominik ; Jensen, Ulf ; Eskofier, Björn: Mobile Recording System for Sport Applications. In: Jiang, Yong ; Zhang, Hui (Ed.) : Proceedings of the 8th International Symposium on Computer Science in Sport (IACSS2011) (8th International Symposium on Computer Science in Sport (IACSS2011) Shanghai, P.R. China September 21-24 2011). Liverpool : World Academic Union (World Academic Press), 2011, pp 67-70. - ISBN 978-1-84626-087-2 | Jensen, Ulf ; Kugler, Patrick ; Dassler, Frank ; Eskofier, Björn: Sensor-based Instant Golf Putt Feedback. In: International Association on Computer Science in Sport (Ed.) : Proceedings of the IACSS 2011 (9th International Symposium on Computer Science in Sport Shanghai, P.R. China September 21-24 2011). 2011, pp 49-53. - ISBN 978-1-84626-087-2 | Schuldhaus, Dominik ; Leutheuser, Heike ; Eskofier, Björn: Automatic Classification of Sport Exercises for Training Support. In: Byshko, R. ; Dahmen, T. ; Gratkowski, M. ; Gruber, M. ; Quintana, J. ; Saupe, M. ; Vieten, M. ; Woll, A. (Ed.) : Sportinformatik 2012 : 9. Symposium der Sektion Sportinformatik der Deutschen Vereinigung für Sportwissenschaft (9. Symposium der Sektion Sportinformatik der Deutschen Vereinigung für Sportwissenschaft Konstanz, Germany 12.09.2012 - 14.09.2012). 2012, pp 214-219. | Jensen, Ulf ; Dassler, Frank ; Eskofier, Björn: Classification of Kinematic Golf Putt Data with Emphasis on Feature Selection. In: Eklundh, Jan-Olof ; Ohta, Yuichi (Ed.) : Proceedings of the 21st International Conference on Pattern Recognition (21st International Conference on Pattern Recognition (ICPR 2012) Tsukuba Science City, Japan November 11-15). 2012, pp 1735-1738. | Jensen, Ulf ; Ring, Matthias ; Eskofier, Björn: Generic Features for Biosignal Classification. In: Byshko, R. ; Dahmen, T. ; Gratkowski, M. ; Gruber, M. ; Quintana, J. ; Saupe, D. ; Vieten, M. ; Woll, A. (Ed.) : Sportinformatik 2012 : 9. Symposium der Sektion Sportinformatik der Deutschen Vereinigung für Sportwissenschaft (9. Symposium der Sektion Sportinformatik der Deutschen Vereinigung für Sportwissenschaft Konstanz, Germany 12.-14.09.2012). 2012, pp 162-168. | Leutheuser, Heike ; Eskofier, Björn: Heart Rate Variability During Physical Exercise. In: Byshko, R. ; Dahmen, T. ; Gratkowski, M. ; Gruber, M. ; Quintana, J. ; Saupe, D. ; Vieten, M. ; Woll, A. (Ed.) : Sportinformatik 2012 : 9. Symposium der Sektion Sportinformatik der Deutschen Vereinigung für Sportwissenschaft (9. Symposium der Sektion Sportinformatik der Deutschen Vereinigung für Sportwissenschaft Konstanz, Germany 12.-14.9.2012). 2012, pp 14-20. | Jensen, Ulf ; Weilbrenner, Fabian ; Rott, Franz ; Eskofier, Björn: Sensor-based Mobile Functional Movement Screening. In: Godara, Balwant ; Nikita, Konstantina S. (Ed.) : Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (Wireless Mobile Communication and Healthcare Paris November 21-23). Vol. 61. Berlin Heidelberg : Springer Berlin Heidelberg, 2012, pp 215-223. - ISBN 978-3-642-37892-8 [doi>10.1007/978-3-642-37893-5_25] | Jensen, Ulf ; Prade, Franziska ; Eskofier, Björn: Classification of Kinematic Swimming Data with Emphasis on Resource Consumption. In: Institute of Electrical and Electronics Engineers (IEEE) (Ed.) : Body Sensor Networks (BSN), 2013 IEEE International Conference on (IEEE International Conference on Body Sensor Networks (BSN) Cambridge, USA May 6 - 9). 2013, pp -. - ISBN 978-1-4799-0331-3 | Schuldhaus, Dominik ; Dorn, Sabrina ; Leutheuser, Heike ; Tallner, Alexander ; Klucken, Jochen ; Eskofier, Björn: An Adaptable Inertial Sensor Fusion-Based Approach for Energy Expenditure Estimation. In: James Goh (Ed.) : The 15th International Conference on Biomedical Engineering (The 15th International Conference on Biomedical Engineering (ICBME 2013) University Town, Singapore Dezember 4 - 7, 2013). Vol. 43. Heidelberg : Springer, 2013, pp 124-127. (IFMBE Proceedings) | Schuldhaus, Dominik ; Leutheuser, Heike ; Eskofier, Björn: Classification of Daily Life Activities by Decision Level Fusion of Inertial Sensor Data. In: ACM Digital Library (Ed.) : 8th International Conference on Body Area Networks (8th International Conference on Body Area Networks (BODYNETS 2013) Boston, USA 30.9.2013-2.10.2013). 2013, pp 77-82. | Leutheuser, Heike ; Schuldhaus, Dominik ; Eskofier, Björn: Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset. In: PLos ONE 8 (2013), No. 10, pp e75196 [doi>10.1371/journal.pone.0075196] | Leutheuser, Heike ; Gabsteiger, Florian ; Kluge, Felix ; Reis, Pedro ; Lochmann, Matthias ; Eskofier, Björn: Comparison of the AMICA and the InfoMax Algorithm for the Reduction of Electromyogenic Artifacts in EEG Data. In: IEEE Engineering in Medicine and Biology Society (Ed.) : Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE (35th Annual International Conference of the IEEE EMBS Osaka, Japan July 3-7,2013). 2013, pp 6804-6807. | Leutheuser, Heike ; Eskofier, Björn: Heart Rate Variability During Physical Exercise. In: International Journal of Computer Science in Sport 12 (2013), No. 1, pp 61-68 | Gradl, Stefan ; Leutheuser, Heike ; Kugler, Patrick ; Biermann, Teresa ; Kreil, Sebastian ; Kornhuber, Johannes ; Bergner, Matthias ; Eskofier, Björn: Somnography using unobtrusive motion sensors and Android-based mobile phones. In: IEEE Engineering in Medicine and Biology Society (Ed.) : Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE (35th Annual International Conference of the IEEE EMBS Osaka July 3-7, 2013). 2013, pp 1182-1185. | Gabsteiger, Florian ; Leutheuser, Heike ; Reis, Pedro ; Lochmann, Matthias ; Eskofier, Björn: SVM for Semi-automatic Selection of ICA Components of Electromyogenic Artifacts in EEG Data. In: James Goh (Ed.) : The 15th International Conference on Biomedical Engineering (The 15th International Conference on Biomedical Engineering (ICBME 2013) University Town, Singapore Dezember 4 - 7, 2013). Vol. 43. Heidelberg : Springer, 2013, pp 132-135. (IFMBE Proceedings) - ISBN 978-3-319-02912-2 |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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