Human location estimation in a room using the multiple nodes with optical distance sensors
Takumi Okuno, Hiroshi Noguchi · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2022
In this paper, we proposed indoor human location estimation by the multiple sensor nodes for monitoring the elderly indoors naturally. Optical distance sensor nodes are equipped with Bluetooth Low Energy (BLE) communication function. These nodes gather the data that measure the distance to a person using distance sensors and transmit the data to the management system. Using this data, the management system estimates human location using machine learning as multi-class classification problem. The experiment showed the potential of these nodes and this method to be used as a location estimator.