Emotion Detection of Autistic Children using Support Vector Machine: A Review


Authors : Pooja Rani, Dr. Amandeep Kaur

Volume/Issue : Volume 4 - 2019, Issue 6 - June

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2Qvw0MG

Facial Emotion Detection is the way toward recognizing human emotion from facial expressions. Autism Spectrum Disorder is complex neurobehavioral condition. In this condition autistic people are not able to do social communication. The autistic people have rigid and repetitive behaviors.People with autism have difficulty in recognition of emotions. This study works on emotion detection of autistic children from facial expression. This study works on happiness, angry, disgust and neutral emotions. With image processing and machine learning algorithms proved that the detection of emotion of autistic children can be possible. This study implements Local Binary Pattern to extract features from images and uses machine learning algorithm for training and testing of emotions. It implements Support Vector Machine algorithm for classify the emotions.

Keywords : Emotion Detection, Image Processing, Local Binary Pattern, Machine Learning, Support Vector Machine.

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