大会名称
2017年 ソサイエティ大会
大会コ-ド
2017S
開催年
2017
発行日
セッション番号
B-20
セッション名
ヘルスケア・医療情報通信技術
講演日
2017/9/14
講演場所(会議室等)
1号館 13L
講演番号
B-20-1
タイトル
Indoor Positioning Prediction in Dark Spaces without the Assistance of Wearable Devices
著者名
○Chia-Sheng TsaiYu-Cheng Lin
キーワード
Indoor Positioning, Navigation, Wi-Fi, Wireless communication, Wireless networks
抄録
In the previous works, in our laboratory, we made IoT (Internet of things) devices using Arduino MCU chips to collect sensors data via mobile phones to sink servers as shown in Fig. 1. Also, we made an automobile car to detect warm bodies in dark spaces (rooms) without camera as shown in Fig. 2. Further, this automobile car we made can be controlled by smart phones and track moving objects. Then, here, we try to detect moving objects without sensor rings, wearable devices, cameras and automobile cars. The purpose of this paper, is to determine whether the signal strength (dBm) changes when the object moves within the range of the subordinate. This helps us to compute accurate position of observed object, especially for elder people who do not want to take appended wearable devices on his body.
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