DocumentCode
1127584
Title
Rapid Prototyping of Activity Recognition Applications
Author
Bannach, David ; Lukowicz, Paul ; Amft, Oliver
Author_Institution
Univ. of Passau, Passau
Volume
7
Issue
2
fYear
2008
Firstpage
22
Lastpage
31
Abstract
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.
Keywords
mobile computing; software prototyping; CRN Toolbox; Context toolkit framework; DSWare; Posix operating system; context recognition system; data service middleware; distributed activity recognition system; distributed processing; event detection; fixed-point arithmetic; floating-point arithmetic; heterogeneous sensor; homogeneous sensor network; mobile device; rapid-prototyping tool; wearable device; Biomedical monitoring; Computational modeling; Distributed processing; Event detection; Libraries; Partitioning algorithms; Pervasive computing; Prototypes; Signal processing algorithms; Target recognition; CRN Toolbox; activity recognition; context recognition; distributed processing; gesture recognition; mobile devices; pattern recognition; rapid prototyping; wearable devices;
fLanguage
English
Journal_Title
Pervasive Computing, IEEE
Publisher
ieee
ISSN
1536-1268
Type
jour
DOI
10.1109/MPRV.2008.36
Filename
4487085
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