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Smart Cap for Alzheimer Patients using Deep Learning

Due to medical advancements in 20th century there has been an explosive growth in the population and life expectancy. Even after such medical advancements there still exist some irreversible diseases from which modern medicine cannot help humans to recover fully. Alzheimer's is one such progressive disease that causes severe problems with thinking, memory and behaviour. The people suffering from Alzheimer's disease have a tendency to forget people they know, scheduled meetings, medicines they are supposed to take, their daily routine and other important things. In this paper, we present the prototype developed for wearable smart cap designed using deep learning model for face recognition to recognize people related to the patient. In contrast to the other approaches which rely on deep networks trained on specific number of classes making introduction of new classes difficult in the system, our approach extracts unique feature vectors from faces in the dataset and trains classifier on them so that it can easily be trained for classifying new classes. We have developed a 3D model for this smart cap with all hardware modules embedded in it. This cap is very much useful for the patients as it enables them to recognize the people nurturing them and also harmful strangers.