[1M4-GS-13] AI application: Human detection

[1M4-GS-13-02] An estimation of the presence and absence of humans indoor based on RSSI using Support vector machine

〇Yuichi Takano¹, Takahiro Nishigaki¹, Takashi Onoda¹ (1. Aoyama Gakuin university)

Keywords:RSSI, IoT, Humans detecting

In this research, we propose a method of the detecting the presence and absence of humans indoor by using only RSSI (Received Signal Strength Indicator). From the viewpoint of energy saving in offices and hotels, Nowadays the technology that manage the lighting and air conditioning facility by detecting the presence and absence of humans indoor has been paid attention. The presence and absence of humans indoor has been detected by the specific devices such as the human detecting sensor and cameras so far. Therefore, it was necessary to install the human detecting sensor anew for detecting the presence and absence of humans indoor where hadn’t installed the human detecting sensor. In this paper, we propose a method of the detecting the presence and absence of humans indoor without using the specific devices. It was confirmed that possibility to estimate the presence and absence of humans indoor 99\% under specifically condition.