Publication: A Bed-Fall Notification System Using Pressure and Ultrasonic Sensors
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Issued Date
2022
Resource Type
Language
eng
File Type
application/pdf
ISSN
25869396
Rights Holder(s)
Scopus
Bibliographic Citation
Current Applied Science and Technology. Vol 22, No.3 (2022)
Suggested Citation
Pornpreedawan P., Puengsiricharoen K., Tantisatirapong S., Taweerutchana R., Sueaseenak D. A Bed-Fall Notification System Using Pressure and Ultrasonic Sensors. Current Applied Science and Technology. Vol 22, No.3 (2022). doi:10.55003/cast.2022.03.22.011 Retrieved from: https://hdl.handle.net/20.500.14740/10027
Abstract
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. © 2022, King Mongkut's Institute of Technology Ladkrabang. All rights reserved.