A Simulator for Generating and Visualizing Sensor Data for Ambient Intelligence Environments

Mario Buchmayr, Werner Kurschl, Josef Küng

Research output: Chapter in Book/Report/Conference proceedingsConference contribution

15 Citations (Scopus)

Abstract

The development of ambient intelligence environments has become a complex task and faces several challenges due to improved sensing possibilities and new fields of application, like detecting activities of daily living or classifying situations. Without having representative test data for experimentation during the development phase, the choice of suitable sensors and classification mechanisms becomes a critical issue. From an economical point of view, hardware and test labs are expensive and require lead time before test data are generated. To compensate the temporal gap, data needs to be simulated until real data are available for testing. In this paper we present an adaptive and extensible simulator which can be used during the design phase to generate data from various sensors within a simulated ambient intelligence environment. Our approach allows generating and visualizing different sensor data as well as simulating faulty or unexpected sensor behaviour.
Original languageEnglish
Title of host publicationA Simulator for Generating and Visualizing Sensor Data for Ambient Intelligence Environments
PublisherElsevier Science Inc.
Pages90-97
Number of pages8
Volume5
DOIs
Publication statusPublished - 2011
Event2nd Int. Conferences on Ambient Systems, Networks and Technologies - Niagara Falls, Canada, Canada
Duration: 19 Sep 201121 Sep 2011

Publication series

NameProcedia Computer Science
PublisherElsevier BV

Conference

Conference2nd Int. Conferences on Ambient Systems, Networks and Technologies
CountryCanada
CityNiagara Falls, Canada
Period19.09.201121.09.2011

Keywords

  • Simulation Environment
  • Simulator
  • Activity Recognition
  • Ambient Intelligence

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