AI-Powered Bed Safety-Guard System for Fall Prevention in Elderly and Disabled Patients
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The demand for innovative solutions for elderly and disabled patient care is becoming increasingly critical with theacceleration of global aging. This paper presents the development of an artificial intelligence (AI)-powered automatic bed safetyguardsystem designed to prevent accidental falls among bedridden patients. The system integrates an infrared camera-based realtimeposture-estimation algorithm with an intelligent safety-guard control mechanism that determines deployment and retractionbased on patient movements. The motorized safety guard, driven by a brushless DC (BLDC) motor, precisely aligns with the positionof the patient to ensure smooth and reliable operation. Performance evaluations demonstrated 98% accuracy in posture-based safetyguardoperation. The motorized guard operated at speeds of up to 72.5°/s with high linearity (R2 > 0.996), ensuring precise and stablemovement. The experimental results confirm its effectiveness in enhancing safety and usability in long-term care, paving the wayfor AI-driven advancements in geriatric healthcare and smart assistive systems.
Abstract
The demand for innovative solutions for elderly and disabled patient care is becoming increasingly critical with theacceleration of global aging. This paper presents the development of an artificial intelligence (AI)-powered automatic bed safetyguardsystem designed to prevent accidental falls among bedridden patients. The system integrates an infrared camera-based realtimeposture-estimation algorithm with an intelligent safety-guard control mechanism that determines deployment and retractionbased on patient movements. The motorized safety guard, driven by a brushless DC (BLDC) motor, precisely aligns with the positionof the patient to ensure smooth and reliable operation. Performance evaluations demonstrated 98% accuracy in posture-based safetyguardoperation. The motorized guard operated at speeds of up to 72.5°/s with high linearity (R2 > 0.996), ensuring precise and stablemovement. The experimental results confirm its effectiveness in enhancing safety and usability in long-term care, paving the wayfor AI-driven advancements in geriatric healthcare and smart assistive systems.