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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bannach, D. Lukowicz, P. Amft, O. |
| Copyright Year | 2002 |
| 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. |
| Sponsorship | IEEE Computer Society |
| File Size | 2866077 |
| File Format | |
| ISSN | 15361268 |
| Volume Number | 7 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-04-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Prototypes Signal processing algorithms Biomedical monitoring Computational modeling Libraries Target recognition Pervasive computing Event detection Partitioning algorithms Distributed processing gesture recognition rapid prototyping activity recognition context recognition CRN Toolbox wearable devices mobile devices distributed processing pattern recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computational Theory and Mathematics Computer Science Applications Software |
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