miLife

Project leader: Björn Eskofier
Project members: Ulf Jensen, Dominik Schuldhaus, Johannes Kornhuber, Joachim Hornegger, Heike Leutheuser
Start date: 1. August 2011
End date: 31. October 2014
Funding source: Bayerisches Staatsministerium für Wirtschaft, Infrastruktur, Verkehr und Technologie (StMWIVT) (bis 09/2013)

Abstract

Body 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.

Publications

• Schuldhaus D., Leutheuser H., Eskofier B.:
  Towards Big Data for Activity Recognition: A Novel Database Fusion Strategy
  BODYNETS 2014 (London, 29. September 2014 - 1. October 2014)
  In: 9th International Conference on Body Area Networks 2014
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Schuldhaus14-TBD.pdf
  BibTeX: Download
• Jakob C., Kugler P., Hebenstreit F., Reinfelder S., Jensen U., Schuldhaus D., Lochmann M., Eskofier B.:
  Estimation of the Knee Flexion-Extension Angle During Dynamic Sport Motions Using Body-worn Inertial Sensors
  8th International Conference on Body Area Networks (Boston, MA, USA, 30. September 2013 - 2. October 2013)
  In: IEEE (ed.): BodyNets 2013 2013
  URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Jakob13-EOT.pdf
  BibTeX: Download
• Leutheuser H., Schuldhaus D., Eskofier B.:
  Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset
  In: Plos One 8.0 (2013), p. e75196
  DOI: 10.1371/journal.pone.0075196
  BibTeX: Download
• Schuldhaus D., Leutheuser H., Eskofier B.:
  Classification of Daily Life Activities by Decision Level Fusion of Inertial Sensor Data
  8th International Conference on Body Area Networks (BODYNETS 2013) (Boston, 30. September 2013 - 2. October 2013)
  In: ACM Digital Library (ed.): 8th International Conference on Body Area Networks 2013
  URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Schuldhaus13-COD.pdf
  BibTeX: Download
• Schuldhaus D., Dorn S., Leutheuser H., Tallner A., Klucken J., Eskofier B.:
  An Adaptable Inertial Sensor Fusion-Based Approach for Energy Expenditure Estimation.
  The 15th International Conference on Biomedical Engineering (ICBME 2013) (University Town, Singapore, 4. December 2013 - 7. December 2013)
  In: Goh James (ed.): The 15th International Conference on Biomedical Engineering, Heidelberg: 2013
  URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Schuldhaus14-AAI.pdf
  BibTeX: Download