主催: 一般社団法人 日本機械学会
会議名: スポーツ工学・ヒューマンダイナミクス2020
開催日: 2020/11/13 - 2020/11/15
In Japan in recent years, due to the declining birthrate and aging population and the declining working population, factory automation and remote work are progressing. Along with this, it has become necessary to grasp the positions of people and objects. In this research, I focus on indoor position measurement and examine position measurement by wireless LAN. We will verify by the following two methods. One is a method called Triangulation. This method uses position estimation using the relative positional relationship from a reference point whose position is known. This time, we used two wireless LANs and conducted an experiment assuming that the arrival angle is known. In this method, the area to be estimated is divided, data is collected for each divided area, and the position is estimated with reference to the learning data. The accuracy of Triangulation was about 16 cm to 389 cm. In the scene analysis, an error of 3 to 19 squares (about 150 cm to 300 cm) was found in the 50 cm x 50 cm square. From this result, it was found that the position estimation by Triangulation is more accurate. However, if there is an obstacle between the wireless LAN and the receiver, we think that is not the case. In the future, we plan to improve the accuracy and conduct experiments that combine the above two methods.