Rapid Prototyping of Activity Recognition Applications

The CRN Toolbox enables fast implementation of activity and context recognition systems, featuring mechanisms for distributed processing and support for mobile and wearable devices. CRN Toolbox is a tool set specifically optimized for implementing multimodal, distributed activity and context recogni...

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Bibliographic Details
Published in:IEEE pervasive computing 2008-04, Vol.7 (2), p.22-31
Main Authors: Bannach, D., Lukowicz, P., Amft, O.
Format: Article
Language:English
Subjects:
activity recognition
Algorithms
Biomedical monitoring
Chromium nitride
Computational modeling
context recognition
CRN Toolbox
Devices
Distributed processing
Event detection
Floating point arithmetic
gesture recognition
Libraries
mobile devices
Partitioning algorithms
pattern recognition
Pervasive computing
Prototypes
rapid prototyping
Recognition
Sensors
Signal processing algorithms
Target recognition
wearable devices
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Description
Summary:The CRN Toolbox enables fast implementation of activity and context recognition systems, featuring mechanisms for distributed processing and support for mobile and wearable devices. CRN Toolbox is a tool set specifically optimized for implementing multimodal, distributed activity and context recognition systems running on Posix operating systems. Like conventional rapid- prototyping tools, the CRN Toolbox contains a collection of ready-to-use algorithms (signal processing, pattern classification, and so on). Unlike classic event detection in homogeneous sensor networks-for example, DSWare (Data Service Middleware)-it supports complex activity detection from heterogeneous sensors. Its implementation is particularly optimized for mobile devices. This includes the ability to execute algorithms, whether in floating-point or fixed-point arithmetic, without recoding. Moreover, with its mature functionality, the CRN Toolbox isn't likely to suffer from limited user acceptance as the Context toolkit framework did.
ISSN:1536-1268
1558-2590
DOI:10.1109/MPRV.2008.36