A lightweight indoor location model for sentient artefacts using sentient artefacts

Fahim Kawsar, Kaori Fujinami, Tatsuo Nakajima

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

8 Citations (Scopus)

Abstract

Our approach towards context awareness is to use sensor augmented daily life objects surrounding us for extracting context information and for providing ambient services. Some of these artefacts are static in nature and have designated location, like a bed in the bedroom, a refrigerator in the kitchen, etc. Utilizing this characteristics, we present "Spreha", a light weight hierarchical location model where static artefacts are used as reference points for identifying mobile artefacts like a chair, a watch, a lamp, etc. The model is organized in a tree structure representing the containment relationship and is independent of underlying sensing infrastructure. A prototype implementation of the model has been constructed as a pluggable module of a generic middleware using Bluetooth technology. This paper discusses about the design, architecture and findings of the prototype implementation.

Original languageEnglish
Title of host publicationProceedings of the 2007 ACM Symposium on Applied Computing
Pages1624-1631
Number of pages8
DOIs
Publication statusPublished - 2007 Oct 18
Event2007 ACM Symposium on Applied Computing - Seoul, Korea, Republic of
Duration: 2007 Mar 112007 Mar 15

Publication series

NameProceedings of the ACM Symposium on Applied Computing

Conference

Conference2007 ACM Symposium on Applied Computing
CountryKorea, Republic of
CitySeoul
Period07/3/1107/3/15

Keywords

  • Location model
  • Pervasive environment
  • Sentient artefact

ASJC Scopus subject areas

  • Software

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  • Cite this

    Kawsar, F., Fujinami, K., & Nakajima, T. (2007). A lightweight indoor location model for sentient artefacts using sentient artefacts. In Proceedings of the 2007 ACM Symposium on Applied Computing (pp. 1624-1631). (Proceedings of the ACM Symposium on Applied Computing). https://doi.org/10.1145/1244002.1244347