電子情報通信学会ソサイエティ大会講演要旨
B-20-1
Indoor Positioning Prediction in Dark Spaces without the Assistance of Wearable Devices
○Chia-Sheng Tsai・Yu-Cheng Lin(Tatung Univ.)
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.