Abstract
This letter presents a real-time bed-exit alarm system using ultrasonic sensors, infrared (IR) sensors, and an accelerometer. The ultrasonic sensors detect the elderly in bed; the IR sensors detect the motion of the elderly across the gap at the end of the bed; and the accelerometer detects the bed rail being lowered. To achieve early notification, one-against-one support vector machine classifiers are implemented to recognize the early stages of bed-exit events with a sensitivity of 97.7% and a precision of 93.8%. The proposed system is verified with ten elderly subjects and provides an average lead time of 11.4 s for real bed-exit events, indicating that the proposed system has the ability to issue early warnings to caregivers for immediate assistance.
Original language | English |
---|---|
Pages (from-to) | 1-4 |
Number of pages | 4 |
Journal | IEEE Sensors Letters |
Volume | 8 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2024 Jan 1 |
All Science Journal Classification (ASJC) codes
- Instrumentation
- Electrical and Electronic Engineering