Deep Learning Facial Expression Recognition for Children with Autism Spectrum Disorder

Facial Emotion Detection is a method of recognizing human emotions by analyzing facial expressions. Autism Spectrum Disorder (ASD) is a severe neurobehavioral condition Autistic people have a tendency to act in the same way over and over. They aren't ready to engage in social interaction. This syndrome affects people's ability to recognize emotions. It is vital to train children at a young age, during childhood, in order to develop their ability to recognize emotions. Image processing and machine learning techniques are used to check in autistic children's emotions. Emotions are classified using machine learning algorithms. It is vital to teach them at a young age, preferably throughout childhood. This study shows how to use and implement the Convolutional Neural Network's fundamental design to teach youngsters with ASD how to recognize human emotions. Such is a validated using an existing dataset from the literature, and an accuracy of 72% percent was attained.