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An iBeacon based Real-time context-aware e-healthcare system

The interconnected computing devices in our everyday objects will play an important role to develop Internet-of-Things ecosystem. Such system will provide ubiquitous capabilities to various applications, including manufacturing transportation and health care. The aim of this paper is to provide real-time context-aware healthcare services to elderly patients. The proposed solution is context-aware by identifying health condition and tracking patients in a real-time manner. It can extract this context information from wearable sensors and iBeacons, and by employing ontological based semantic meaning appropriate action can also be taken. In critical medical conditions the system can send alert notifications to nearest rescue medics or emergency centers including patient location. The system utilizes the iBeacons that are more simple, accurate, low-cost and energy efficient than existing technologies. The system is actually ontology base engine, which gets the information through sensors, identify the symptoms and classify them into normal and critical categories using naive Bayes classifier. Thus provide real-time and context-award health care services to its users.