Open AccessAn Elderly Monitoring System Based on Multiple Ultra-Sensitive Vibration and Pneumatic Sensors
Author(s) -
Shuai Shao,
Kouhei Yamamoto,
Naoyuki Kubota
Publication year - 2021
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2021.p0423
Subject(s) - computer science , usability , heartbeat , wireless sensor network , real time computing , noise (video) , accelerometer , anomaly detection , elderly people , artificial intelligence , computer security , human–computer interaction , computer network , gerontology , medicine , image (mathematics) , operating system
In recent years, aging of the population has become a major social problem. Various types of sensor networks have been applied to elderly monitoring for addressing the care problems of the elderly living alone. We have also proposed elderly monitoring systems based on wireless sensor network devices. However, vision-based sensors can also cause a mental burden on the elderly’s privacy. Furthermore, the number of sensors must be reduced, if possible. Therefore, this study proposes an elderly monitoring system composed of two vibration sensors placed on the floor and a pneumatic sensor placed on the bed. Because both sensors include considerable measurement noise, we propose a human behavior estimation method that includes anomaly detection from time-series measurement data using an autocorrelation coefficient. Finally, we discuss the effectiveness and usability of the proposed system through several experimental results. The accuracy of walking detection reaches 94.4%, while the error of heartbeat detection is 3.01 bpm.