Hostname: page-component-74656f9884-j7cmm Total loading time: 0 Render date: 2026-11-08T08:51:39.313Z Has data issue: false hasContentIssue false
  • English
  • Français

Deriving complex location data from simple movement sensors

Published online by Cambridge University Press:  17 August 2017

J. L. Gordon ,
D. Williams  and
C. A. Hobson
J. L. Gordon
Affiliation:
Liverpool Polytechnic, Byrom Street, Liverpool L3 3AF (UK)
D. Williams
Affiliation:
Liverpool Polytechnic, Byrom Street, Liverpool L3 3AF (UK)
C. A. Hobson
Affiliation:
Liverpool Polytechnic, Byrom Street, Liverpool L3 3AF (UK)
Get access Rights & Permissions [Opens in a new window]

Summary

Building Management Systems and Home Automation are, at present, active areas of research and development. One of the unsolved problems within this field is that of Occupant Location within a premises. Computer vision systems are, as yet, too expensive and still not entirely adequate to monitor occupation from every room in a building. The use of existing movement sensors is a cost effective solution but has the disadvantages of not detecting people who are stationary for some time, or giving any indication of how many people are in a room.

This paper addresses the problem of using the collaborative sum of these simple movement sensors in a temporal reasoning scheme to deduce room occupation.

Keywords

Location dataSensorsHome automationBuilding management

Information

Type
Research Article
Information
Robotica , Volume 8 , Issue 2 , April 1990 , pp. 151 - 158
Copyright
Copyright © Cambridge University Press 1990

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

1. Hodkinson, S.L. and Oughton, D.R. “Using Information Feedback for Energy Management” Proceedings of the Intelligent Buildings Seminar, December, 1987, London (Unicom Seminars 1987) pp. 173–186.Google Scholar
2. Shaw, M.R., “Applying Expert Systems to Environmental Management Control Problems” Proceedings of the Intelligent Buildings Seminar December 1987, London (Unicom Seminars, 1987) pp. 113–125.Google Scholar
3. Cornick, T., “Intelligent Buildings, translating needs into practice” University of Reading Proceedings of the Intelligent Buildings Seminar December 1987 London (Unicom Seminars, 1987) pp. 42–47.Google Scholar
4. Allen, J.F. & Hayes, P.J., “A Common Sense Theory of Time” Proceedings International Joint Council on Artificial Intelligence. 528–531 (1985).Google Scholar
5. Aleksander, L. & Hanna, F.K., Automata Theory: An Engineering Approach (Edward Arnold, London, 1976) pp. 111–134.Google Scholar
6. Barr, A. & Feigenbaum, E.A., “Heuristic State Space Search” The Handbook of A.I. Vol. 1. William Kaufmann, Los Altos, California, 1981) pp. 58–63.Google Scholar
7. Winston, P.H., Artificial Intelligence second edition. (Addison-Wesley Publishing Reading, 1984) pp. 87–113.Google Scholar