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Departments >> Faculty of Engineering >> Department of Computer Science >> Chair of Computer Science 5 (Pattern Recognition) >>
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Design and implementation of embedded sensors for processing of physiological and biomechanical signalsThe measurement of physiological and biomechanical
signals
will play
an increasingly important role in the future. This
includes,
for
instance, the accompaniment of patients during their
therapy, the
support of elderly people in different situations of life
and the
monitoring of athletes during training and competition.Starting from this situation embedded sensor modules are
designed and
implemented in hardware. The objective is to integrate
this
embedded
sensor modules in clothing and equipment and to evaluate
these modules
with the help of wireless connected devices. This allows
to
monitor
the activity and health of patients in the medical field,
as
well as
to record and to improve the fitness during sportive
exercises. The aim of this research project is the development of
portable sensor
systems and sensor modules, which can be integrated into
body
clothing, shoes and equipment. The focus here is the
development of
different sensor nodes with appropriate sensory and
electronical
components as well as the integration of wireless data
and
power
transmission options, suitable for sports and fitness
applications.
| Project manager:
Prof. Dr. Björn Eskofier
Project participants:
Dipl.-Ing. Peter Blank
Keywords:
Embedded Systems; Wearables Body Sensor Networks; Digital Sports;
Duration: 15.2.2013 - 31.10.2015
Sponsored by:
Interdisziplinäres Zentrum für eingebettete Systeme (ESI)
Contact:
Blank, Peter
Phone +49 9131 85 27890, Fax +49 9131 85 28980, E-Mail: peter.blank@fau.de
| | Publications |
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| Kugler, Patrick ; Schlarb, Heiko ; : A Wearable Sensor System for Sports and Fitness Applications. In: De Haan, A., De Ruiter, C. J., Tsolakidis, E. (Ed.) : Book of Abstracts of the 19th Annual Congress of the European College of Sport Science (19th Annual Congress of the European College of Sport Science Amsterdam, The Netherlands July 2-5, 2014). 2014, pp 703. - ISBN 978-94-622-8477-7 | | Richer, Robert ; ; ; : Real-Time ECG and EMG Analysis for Biking Using Android-Based Mobile Devices. In: Institute of Electrical and Electronics Engineers (Ed.) : Wearable and Implantable Body Sensor Networks (BSN), 2014 11th International Conference on (11th International Conference on Wearable and Implantable Body Sensor Networks (BSN) Zürich, Switzerland June 16 - 19). 2014, pp 104-108. | | Hoßbach, Julian ; ; : Sensor-based stroke detection and stroke type classification in table tennis. In: ACM New York (Ed.) : Proceedings of the 2015 ACM International Symposium on Wearable Computers (The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing Osaka, Japan 7 - 11 September, 2015). 2015, pp 93-100. | Kugler, Patrick ; ; : A data collection and communication module for telemedicine and mhealth systems. In: ICST (Ed.) : Proceedings of the 9th International Conference on Body Area Networks (ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering London, Great Britain 29.9.14). 2014, pp 154-158.
[doi>10.4108/icst.bodynets.2014.257018] | | Exergaming on Mobile Devices. In: DVS Sportinformatik (Ed.) : 10. Symposium der dvs Sportinformatik (10. Symposium der dvs Sportinformatik Vienna, Austria 10 - 12 September, 2014). 2014, pp 26-27. |
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