Smart home simulation using avatar control and probabilistic sampling

Jens Lundström, Jonathan Synnott, Eric Järpe, Chris Nugent

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)
28 Downloads (Pure)

Abstract

Development, testing and validation of algorithms for smart home applications are often complex, expensive and tedious processes. Research on simulation of resident activity patterns in Smart Homes is an active research area and facilitates development of algorithms of smart home applications. However, the simulation of passive infrared (PIR) sensors is often used in a static fashion by generating equidistant events while an intended occupant is within sensor proximity. This paper suggests the combination of avatar-based control and probabilistic sampling in order to increase realism of the simulated data. The number of PIR events during a time interval is assumed to be Poisson distributed and this assumption is used in the simulation of Smart Home data. Results suggest that the proposed approach increase realism of simulated data, however results also indicate that improvements could be achieved using the geometric distribution as a model for the number of PIR events during a time interval.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE
Pages336-341
Number of pages6
ISBN (Print)978-1-4799-8425-1
DOIs
Publication statusE-pub ahead of print - 29 Jun 2015
EventThe 2nd International Workshop on Smart Environments: Closing the Loop, 2015 - St. Louis, MO, USA
Duration: 29 Jun 2015 → …

Workshop

WorkshopThe 2nd International Workshop on Smart Environments: Closing the Loop, 2015
Period29/06/15 → …

Bibliographical note

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Keywords

  • Avatars
  • Intelligent sensors
  • Smart homes
  • Data models
  • Software

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