• 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