Situation Determination with Reusable Situation Specifications

G Thomson, S Terzis, Patrick Nixon

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

9 Citations (Scopus)

Abstract

Automatically determining the situation of an ad-hoc group of people and devices within a smart environment is a significant challenge in pervasive computing systems. Current approaches often rely on an environment expert to correlate the situations that occur with the available sensor data, while other machine learning based approaches require long training periods before the system can be used. This paper presents a novel approach to situation determination that attempts to overcome these issues by providing a reusable library of general situation specifications that can be easily extended to create new specific situations, and immediately deployed without the need of an environment expert. A proposed architecture of an accompanying situation determination middleware is provided, as well as an analysis of a prototype implementation.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages620-623
Number of pages4
DOIs
Publication statusPublished - 2006
EventFourth Annual IEEE International Conference on Pervasive Computing and Communications: Workshops - Pisa, Italy
Duration: 1 Jan 2006 → …

Workshop

WorkshopFourth Annual IEEE International Conference on Pervasive Computing and Communications: Workshops
Period1/01/06 → …

Fingerprint

Ubiquitous computing
Middleware
Learning systems
Specifications
Sensors

Keywords

  • n/a

Cite this

Thomson, G ; Terzis, S ; Nixon, Patrick. / Situation Determination with Reusable Situation Specifications. Unknown Host Publication. 2006. pp. 620-623
@inproceedings{eef2c387388147bf9cf6d96289545cb1,
title = "Situation Determination with Reusable Situation Specifications",
abstract = "Automatically determining the situation of an ad-hoc group of people and devices within a smart environment is a significant challenge in pervasive computing systems. Current approaches often rely on an environment expert to correlate the situations that occur with the available sensor data, while other machine learning based approaches require long training periods before the system can be used. This paper presents a novel approach to situation determination that attempts to overcome these issues by providing a reusable library of general situation specifications that can be easily extended to create new specific situations, and immediately deployed without the need of an environment expert. A proposed architecture of an accompanying situation determination middleware is provided, as well as an analysis of a prototype implementation.",
keywords = "n/a",
author = "G Thomson and S Terzis and Patrick Nixon",
year = "2006",
doi = "10.1109/PERCOMW.2006.126",
language = "English",
isbn = "0769525202",
pages = "620--623",
booktitle = "Unknown Host Publication",

}

Thomson, G, Terzis, S & Nixon, P 2006, Situation Determination with Reusable Situation Specifications. in Unknown Host Publication. pp. 620-623, Fourth Annual IEEE International Conference on Pervasive Computing and Communications: Workshops, 1/01/06. https://doi.org/10.1109/PERCOMW.2006.126

Situation Determination with Reusable Situation Specifications. / Thomson, G; Terzis, S; Nixon, Patrick.

Unknown Host Publication. 2006. p. 620-623.

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

TY - GEN

T1 - Situation Determination with Reusable Situation Specifications

AU - Thomson, G

AU - Terzis, S

AU - Nixon, Patrick

PY - 2006

Y1 - 2006

N2 - Automatically determining the situation of an ad-hoc group of people and devices within a smart environment is a significant challenge in pervasive computing systems. Current approaches often rely on an environment expert to correlate the situations that occur with the available sensor data, while other machine learning based approaches require long training periods before the system can be used. This paper presents a novel approach to situation determination that attempts to overcome these issues by providing a reusable library of general situation specifications that can be easily extended to create new specific situations, and immediately deployed without the need of an environment expert. A proposed architecture of an accompanying situation determination middleware is provided, as well as an analysis of a prototype implementation.

AB - Automatically determining the situation of an ad-hoc group of people and devices within a smart environment is a significant challenge in pervasive computing systems. Current approaches often rely on an environment expert to correlate the situations that occur with the available sensor data, while other machine learning based approaches require long training periods before the system can be used. This paper presents a novel approach to situation determination that attempts to overcome these issues by providing a reusable library of general situation specifications that can be easily extended to create new specific situations, and immediately deployed without the need of an environment expert. A proposed architecture of an accompanying situation determination middleware is provided, as well as an analysis of a prototype implementation.

KW - n/a

U2 - 10.1109/PERCOMW.2006.126

DO - 10.1109/PERCOMW.2006.126

M3 - Conference contribution

SN - 0769525202

SP - 620

EP - 623

BT - Unknown Host Publication

ER -