Rapid prototyping of activity recognition applications
| Autor: | David Bannach, Oliver Amft, Paul Lukowicz |
|---|---|
| Přispěvatelé: | Signal Processing Systems |
| Jazyk: | angličtina |
| Rok vydání: | 2008 |
| Předmět: |
business.industry
Event (computing) Computer science Mobile computing Context (language use) Software prototyping computer.software_genre Toolbox Computer Science Applications Activity recognition Computational Theory and Mathematics POSIX Embedded system Middleware (distributed applications) business computer Software |
| Zdroj: | IEEE Pervasive Computing, 7(2), 22-31. Institute of Electrical and Electronics Engineers |
| ISSN: | 1536-1268 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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