Development of Bed Exit Alarm via Web Camera Utilizing Image Processing and Artificial Intelligence
Nopadol Uchaipichat · 2023
This research focuses on the development of an innovative system for detecting instances of patients falling out of bed using advanced image processing and artificial intelligence techniques. By analyzing real-time images from a webcam placed in the patient's bed area, the system identifies specific key points on the patient's body to assess fall risks. The study involved testing twelve sleep patterns representing safe sleeping positions and six patterns simulating scenarios with a risk of falling. The system demonstrated remarkable accuracy in detecting fall risks, triggering warnings and alarms when key points associated with falling were not detected. Importantly, the system avoided false alarms caused by incorrect detections. These findings contribute to the improvement of bed exit alarm systems and have significant implications for patient safety.