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Deriving complex location data from simple movement sensors

Published online by Cambridge University Press:  17 August 2017

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)

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.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1990

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References

1. Hodkinson, S.L. and Oughton, D.R.Using Information Feedback for Energy ManagementProceedings of the Intelligent Buildings Seminar, December, 1987, London (Unicom Seminars 1987) pp. 173186.Google Scholar
2. Shaw, M.R., “Applying Expert Systems to Environmental Management Control ProblemsProceedings of the Intelligent Buildings Seminar December 1987, London (Unicom Seminars, 1987) pp. 113125.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. 4247.Google Scholar
4. Allen, J.F. & Hayes, P.J., “A Common Sense Theory of TimeProceedings International Joint Council on Artificial Intelligence. 528531 (1985).Google Scholar
5. Aleksander, L. & Hanna, F.K., Automata Theory: An Engineering Approach (Edward Arnold, London, 1976) pp. 111134.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. 5863.Google Scholar
7. Winston, P.H., Artificial Intelligence second edition. (Addison-Wesley Publishing Reading, 1984) pp. 87113.Google Scholar