Enhancing Dementia Patient Tracking: A Comparative Study of RFID-Based Detection Systems Using Parked and Moving Vehicles
Keywords:
Dementia, Detection systems, GPS, Parked vehicles, Moving vehicles, RFID, SUMO.Abstract
Dementia, a progressive neurological disorder affecting millions globally, poses significant challenges in patient care, particularly due to the risk of wandering. Traditional tracking systems like GPS, Bluetooth, and Wi-Fi often fail to provide reliable, real-time tracking, especially in dense urban environments or areas with poor signal coverage. This paper proposes an innovative RFID (Radio-Frequency Identification)-based tracking system that leverages moving vehicles to enhance the detection and localization of wandering dementia patients by providing a robust, scalable solution for both urban and suburban environments. Unlike existing systems that rely on parked vehicles [7], our approach utilizes a network of moving vehicles equipped with RFID readers, significantly expanding detection coverage and reducing blind spots. We conduct a comparative analysis between the proposed moving vehicle-based system and the existing parked vehicle-based system, using real-world data from Punjabi University, Patiala, and simulations via SUMO (Simulation of Urban MObility). Our results demonstrate that the moving vehicle-based system improves average detection times by up to 60% when the sampling rate is always ON, reduces failed detection rates by 50%, and enhances overall system reliability. The study also addresses technical, privacy, and health-related challenges, offering solutions to optimize system performance.
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