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A Semantic Agent-Based Safety Model for Alzheimer’sPatients for Driving

Alzheimer’s disease drastically affects the human neurological system, causing the death of neurons and synapses in cerebral cortex and other regions. Consequently, patients with Alzheimer’s disease require 24/7 care and assistance with daily life activities. This study uses an ontology-based semantic    model to assist the Alzheimer’s patients through activity   recognition in   the   focused scenario of driving. The safety model presented in this paper alerts the user if anything dangerous is about to happen when they enter a car or during driving. It should be noted that the model is specifically designed for the patients suffering    from a mild form of Alzheimer’s disease.   We have used semantics   to   define the objects   and environment for the patients. After proper monitoring and evaluation, our model   suggests a proper course   of action based on semantic reasoning.