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Rapid Prototyping of Activity Recognition Applications

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3 Author(s)
David Bannach ; University of Passau ; Oliver Amft ; Paul Lukowicz

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.

Published in:

IEEE Pervasive Computing  (Volume:7 ,  Issue: 2 )