Emotion Detection of Autistic Children Using Image Processing

Facial Emotion Detection is an approach towards detecting human emotions through facial expressions. Autism Spectrum Disorder is an advance neurobehavioral disorder. Autistic people have repetitive, rude behavior. They are not ready to do social communication. People with this syndrome have problems with emotion recognition. This paper works on detecting the emotions of autistic children from the expression of their faces. This paper works on four emotions. These emotions are sad, happy, neutral, and angry. To detect the emotion of autistic children is performed with image processing and machine learning algorithms. The features are extracted from the faces of autistic children with local binary pattern. Machine learning algorithms are used for classification of emotions. Machine learning classifiers used in classification process are support vector machine and neural network.