Feature extraction of multi-gas sensor responses using Genetic Algorithm

被引：5
|
作者：
Nishikawa, T
Hayashi, T
Nambo, H
Kimura, H
Oyabu, T
机构：
[1] Kanazawa Municipal High Sch Technol, Kanazawa, Ishikawa 9200344, Japan
[2] Kanazawa Univ, Kanazawa, Ishikawa 920, Japan
[3] Kanazawa Univ Econ, Kanazawa, Ishikawa, Japan
来源：
SENSORS AND ACTUATORS B-CHEMICAL | 2000年 / 64卷 / 1-3期
关键词：
recognition of human activity; sensor response; feature extraction; gas sensor; genetic algorithm;
D O I：
10.1016/S0925-4005(99)00475-X
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
It is an established technique in the field of privacy protection to use a gas sensor to monitor indoor environments. In this paper, we propose a method for recognizing human activities in an indoor environment by using several kinds of high-sensitivity gas sensors. The feature of the method is estimating the signals with Genetic Algorithm (GA). The results showed that the proposed method effectively worked for the recognition of human activities. This paper demonstrates a significant result through utilization of the proposed technique in this research. (C) 2000 Elsevier Science S.A. All rights reserved.
引用
收藏
页码：2 / 7
页数：6
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