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Title: Intelligent system for the recognition of facial emotions: A tool for people with autism spectrum disorder
Authors: Ferley Medina Rojas, Juan A. Castro Silva, Faiber Robayo Betancourt
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2021
Volume: 16
Issue: 18
Language: English
Autism spectrum disorder (ASD) is a neuropsychological disorder that begins at an early age in people and prevails throughout life. It affects the ability to communicate and interact with other people; they do not interpret facial emotions (Scared, Disgusted, Happy, Sad, Angry, Surprised, Contempt, and Neutral) like other people, resulting in isolation. Emotions help communicate to understand what other people feel. This paper presents a model for the recognition of emotions through facial expressions. It makes use of convolutional neural networks based on the VGG-Face architecture, trained to recognize faces and predict 8 emotions. The dataset used contains 13,000 images of people around the world. The precision obtained from the model was 84%, a value that will help people with ASD to recognize emotions so that they can interact in society.
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