生活状況に即した会話が可能な在宅高齢者みまもりロボット連携に向けた多種センサ搭載IoTシステムの開発

抄録

We have been developing a home monitoring system in which a robot speaks to an older adult when anomaly is detected. In this paper, new stationary IoT sensor nodes were developed. The sensor nodes were powered by commercial electricity and equipped with privacy-friendly heterogeneous sensors measuring power consumption of electrical appliances, vibration, sound level, illuminance, pressure, temperature, humidity, and CO₂. We also programmed an IoT gateway to collect data every second from multiple nodes via Wi-Fi and transfer it to a database. Operational verification experiments revealed accurate measurements and uninterrupted operation for one month with data loss below 0.05% and within one minute. An anomaly detection experiment using supervised machine learnings demonstrated ability to detect various simulated anomalies embedded into accumulated data, achieving a recall rate exceeding 0.95. These results indicated the potential for the developed system to serve as a foundation for the targeted monitoring system.