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Digital Sports Bavaria: Implementation and validation of innovative Cyber Physical Systems and Human Computer Interaction concepts for future Wearable Computing trends in sport and fitnessDigitalization becomes more and more part of different
areas
in daily life, e.g.
sports and fitness: Wearables, nowadays especially step
counters or activity
trackers, support humans by individual promotion of
health
and improvement of
fitness. Due to the various application areas, these
Wearables are a profitable
market for the future, but current existing systems have
the
following
disadvantages:
devices which are
manually put into apparel. An incorrect use, based on
wrong placement of the
system, leads e.g. to movement patterns of steps which
deviate from a usual
step. This deviation is a challenge for further
processing.
of
movements, e.g. the
detection of steps. In many applications, the quality
of
movement is important.
Based on the information about, how a step is
performed,
an assessment of
e.g. the state of health of a person can be performed.
and/or
graphical output on
mobile devices or PC, e.g. number of steps per day and
during one week.
Nevertheless, for long-term success of systems,
innovative approaches are needed.
smartphones or a PC.
Data are transmitted to a server via web browser for
storage and display. This
kind of system architecture is called wireless sensor
network. In many
applications, this simple system architecture is not
sufficient. Furthermore, the
user pays a fixed amount of money for the complete
system, independent of
the usage of e.g. server and services. For more
complex
algorithms and a
location-independent application of the system, other
system architectures
have to be used. Computationally intensive algorithms
for
step segmentation,
which e.g. are combined with a comparison of steps and
statistics from a
database, should run directly on a remote server.
Furthermore, it is proposed
that the cost of the system should be dependent on the
usage of server and
services.
The goal of the project is to develop a generic platform
for
future Wearable
Computing trends in sports and fitness, which has the
following four features: (i)
permanent availability by integrated sensors in apparel
using e-textiles (sensor
integration), (ii) intelligent and flexibly adaptable
sensor
data processing for a
detailed analysis of complex movement patterns, which
provides more than just
a classification (signal analysis), (iii) development of
innovative user interfaces
(Human Computer Interaction), and (iv) extension of the
system architecture of
wireless sensor networks with a combination of cloud
computing methods (Cyber
Physical Systems). | Project manager: Prof. Dr. Björn Eskofier
Project participants: Dipl.-Ing. Dominik Schuldhaus, Markus Wirth, M. Sc., Markus Zrenner, M. Sc.
Keywords: Cyber Physical Systems; Human Computer Interaction; Wearable Computing; sport; fitness; sensor integration; signal analysis
Duration: 1.4.2015 - 31.3.2018
Sponsored by: Bayerisches Staatsministerium für Wirtschaft und Medien, Energie und Technologie
Contact: Eskofier, Björn E-Mail: bjoern.eskofier@fau.de
| Publications |
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Dorschky, Eva ; Schuldhaus, Dominik ; Koerger, Harald ; Eskofier, Björn: A Framework for Early Event Detection for Wearable Systems. In: ACM (Ed.) : Proceedings of the 2015 ACM International Symposium on Wearable Computers (The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing Osaka, Japan 07.09.2015 - 11.09.2015). 2015, pp 109-112. - ISBN 978-1-4503-3578-2 | Schuldhaus, Dominik ; Zwick, Constantin ; Koerger, Harald ; Dorschky, Eva ; Kirk, Robert ; Eskofier, Björn: Inertial Sensor-Based Approach for Shot/Pass Classification During a Soccer Match. In: SIGKDD (Ed.) : KDD Workshop on Large-Scale Sports Analytics 2015 (21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining Sydney, Australia 10.08.2015). 2015, pp 1-4. | Martindale, Christine ; Wirth, Markus ; Schneegas, Stefan ; Zrenner, Markus ; Groh, Benjamin ; Blank, Peter ; Schuldhaus, Dominik ; Kautz, Thomas ; Eskofier, Björn: Workshop on wearables for sports. In: ACM (Ed.) : 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Heidelberg September 2016). 2016, pp 1. | Schuldhaus, Dominik ; Jakob, Carolin ; Zwick, Constantin ; Koerger, Harald ; Eskofier, Björn: Your Personal Movie Producer: Generating Highlight Videos in Soccer Using Wearables. In: ACM (Ed.) : Proceedings of the 2016 ACM International Symposium on Wearable Computers (ISWC '16 Heidelberg September 12-16 2016). 2016, pp 80-83. | Zhou, Bo ; Wirth, Markus ; Martindale, Christine ; Koerger, Harald ; Zwick, Constantin ; Cruz, Heber ; Eskofier, Björn ; Lukowicz, Paul: Smart Soccer Shoe: Monitoring Foot-Ball Interaction with Shoe Integrated Textile Pressure Sensor Matrix. In: International Symposium on Wearable Computers 2016 (Ed.) : Proceedings of the 2016 ACM International Symposium on Wearable Computers (International Symposium on Wearable Computers 2016 Heidelberg 12-16 September 2016). Heidelberg : Association for Computing Machinery, 2016, pp 64-74. [doi>10.1145/2971763.2971784] |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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