Patient Monitoring Using Emotion Recognition

Abstract

Due to technology improvements, recognising the patient's emotions using deep learning algorithms has gotten a lot of interest recently. Automatically detecting emotions can aid in the development of smart healthcare centers that can detect pain and tiredness in patients so that medication can be started sooner. One of the most fascinating themes is the use of advanced technology to discern emotions, as it defines the human-machine interaction. Various strategies were used to teach machines how to predict emotions. Recent research in the field of employing neural networks to recognise emotions will be used in our system. Our system focuses on recognising emotions from facial expressions and demonstrating several approaches for implementing these algorithms in the real world. Techniques for recognising emotions can be utilized as a surveillance system in healthcare canters to monitor patients.