| 大会名称 |
| 2016年 総合大会 |
| 大会コ－ド |
| 2016G |
| 開催年 |
|
2016
|
| 発行日 |
|
2016/3/1
|
| セッション番号 |
|
BS-3
|
| セッション名 |
|
Advanced Networking Technologies for Innovative Information Networks
|
| 講演日 |
|
2016/3/17
|
| 講演場所(会議室等) |
|
センター2号館 2F 2212
|
| 講演番号 |
|
BS-3-27
|
| タイトル |
|
Empty Scene and Non-empty Scene Detection from Wi-Sun Acceleration Sensor
|
| 著者名 |
|
◎Zhi Liu, Stephan Sigg, Toshitaka Tsuda, Hiroshi Watanabe,
|
| キーワード |
|
wireless sensor networks, Wi-Sun, false alarm, event detection
|
| 抄録 |
|
WSNs are widely deployed to help detect disasters such as landslides. But there are various problems, such as the different kind of noise (such as random visit from animals). This paper studies a disaster detection system utilizing the Wi-Sun acceleration sensors together with the Wi-Sun signal fluctuation and considers the detection of human beings in the scene of interest. Hence, the false alarms introduced by the animals’ walk in, etc. could be detected similarly. The detection results are promising as shown in the result section and the proposed method is applicable to a real landslide to avoid animal-induced false alarms.
|
| 本文pdf |
|
PDF download
|
