Recognition of human activities by gas sensor response using genetic algorithm

Citation
T. Hayashi et al., Recognition of human activities by gas sensor response using genetic algorithm, ELEC C JP 3, 85(1), 2002, pp. 50-61
Citations number
15
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE
ISSN journal
1042-0967 → ACNP
Volume
85
Issue
1
Year of publication
2002
Pages
50 - 61
Database
ISI
SICI code
1042-0967(2002)85:1<50:ROHABG>2.0.ZU;2-Y
Abstract
In this paper, a scheme for estimating gas concentration change signals for each gas generating source in a room from output signals of a combustible gas sensor installed in the room, and for estimating event signals synthesi zed from them by a genetic algorithm (GA), is proposed. It is shown by comp uter simulation that more accurately estimated concentration change signals or event signals are obtained by applying selective weeding, crossing, mut ation, and so on, repeatedly to an individual group, while applying an appr opriate evaluation function to concentration change signals and event signa ls estimated for each gas generating source expressed by a GA individual. I n addition, it is shown that the estimated concentration change signals and estimated event signals obtained from the output signals of a gas sensor i nstalled in an occupied room by the proposed scheme correspond approximatel y to human activities. In addition, it is shown that the proposed scheme is effective in detecting human activities with a gas sensor, since appropria te signals can be estimated robustly even though components such as noise m ay be present in the sensor output signals. (C) 2001 Scripta Technica.