Open AccessA Bed-Fall Notification System Using Pressure and Ultrasonic Sensors
Author(s) -
Direk Sueaseenak,
Pisut Pornpreedawan,
Kanut Puengsiricharoen,
Suchada Tantisatirapong,
Rutchaporn Taweerutchana
Publication year - 2021
Publication title -
current applied science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.14
H-Index - 3
ISSN - 2586-9396
DOI - 10.55003/cast.2022.03.22.011
Subject(s) - alarm , ultrasonic sensor , internet of things , computer science , mobile device , real time computing , mobile robot , simulation , computer security , automotive engineering , artificial intelligence , engineering , robot , acoustics , electrical engineering , physics , operating system
Falls are a major cause of unintentional injury and mortality in the senior population. Therefore, early fall notification can prevent any undesirable damage. This paper aims to present a mobile electronic device-based bed-fall notification using the combination of six thin-film pressure sensors and six ultrasonic sensors. The proposed system monitors movements, detects a bed-fall, and sends an alarm to caregivers. The Finite State Machine (FSM) is used to classify 3 states of movement patterns: the lying, sitting, and falling states. The Internet of Things (IoT) system is adopted to transmit the movement status to the application on an android mobile device. The proposed bed-fall classification system yielded promising results for accuracy, sensitivity, and specificity: 86.67%, 73.33%, and 100%, respectively. In future work, the proposed system can be improved by increasing the number of thin-film pressure sensors, modifying circuit, and applying machine learning models. Accreditation of the system is expected to benefit young and elderly patients in nursing homes, hospitals, and residential areas.