| 大会名称 |
|---|
| 2019年 情報科学技術フォーラム(FIT) |
| 大会コ－ド |
| F |
| 開催年 |
| 2019 |
| 発行日 |
| 2019-08-20 |
| セッション番号 |
| 6q |
| セッション名 |
| モバイル＆パーベイシブシステム |
| 講演日 |
| 2019/09/05 |
| 講演場所(会議室等) |
| 一般教育棟 C棟 C22 |
| 講演番号 |
| M-034 |
| タイトル |
| Location estimation of PIR sensor for sparse deployment |
| 著者名 |
| Nathavuth Kitbutrawat, François Portet, Hirozumi Yamaguchi, Teruo Higashino, |
| キーワード |
| Localization, Passive Infrared |
| 抄録 |
| Passive infrared (PIR) binary motion sensor becomes an attractive technology for tracking systems at home due to their low energy consumption and a broad range of coverage. One of the most challenging issues is the sensor installation and management difficulty. In this paper, we propose a method to identify those PIR locations to solve the most difficult part of the installation by observing motion detection event sequences with given knowledge of the floor plan. Specifically, we estimate the distance between pairs of sensors and identify particular patterns in the observations to predict the rooms where those sensors are most likely located. |
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