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David Bannach, Oliver Amft, and Paul Lukowicz. Rapid Prototyping of Activity Recognition Applications. IEEE Perv Comput, 7(2):22–31, April--June 2008.
The Context Recognition Network (CRN) Toolbox permits fast implementation of activity and context recognition systems. It utilizes parameterizable and reusable software components and provides a broad set of online algorithms for multi-modal sensor input, signal processing, and pattern recognition. It features mechanisms for distributed processing and support for mobile and wearable devices. We present different case studies indicating its merit in industrial projects, as educational tool for students, and processing engine in activity recognition demonstrators. Moreover, we summarize user evaluation results.
@ARTICLE{Bannach2008-J_IEEEPervComput,
author = {David Bannach and Oliver Amft and Paul Lukowicz},
title = {Rapid Prototyping of Activity Recognition Applications},
journal = {IEEE Perv Comput},
year = {2008},
volume = {7},
pages = {22--31},
number = {2},
month = {April--June},
abstract = {The Context Recognition Network (CRN) Toolbox permits fast implementation
of activity and context recognition systems. It utilizes parameterizable
and reusable software components and provides a broad set of online
algorithms for multi-modal sensor input, signal processing, and pattern
recognition. It features mechanisms for distributed processing and
support for mobile and wearable devices. We present different case
studies indicating its merit in industrial projects, as educational
tool for students, and processing engine in activity recognition
demonstrators. Moreover, we summarize user evaluation results.},
doi = {10.1109/MPRV.2008.36},
file = {Bannach2008-J_IEEEPervComput.pdf:Bannach2008-J_IEEEPervComput.pdf:PDF},
keywords = {Activity recognition, Rapid prototyping, Pervasive computing, Pattern
recognition, Event pattern detection},
owner = {oam},
timestamp = {2008/06/02}
}
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