Abstract: Facial expression recognition plays a vital role in understanding human emotions and behavior. In the context of Autism spectrum disorder childrens, accurate recognition of their facial expressions holds significant potential for aiding diagnosis, treatment, and communication. This abstract presents an overview of a machine learning-based approach to facial expression recognition for children with the Autism Spectrum Disorder. They face challenges in effectively expressing their emotions verbally, which underscores the importance of nonverbal cues such as facial expressions. In proposed work, Machine learning algorithms will implement for acquiring better accuracy for recognizing facial expressions, offering a non-intrusive and objective way to assess emotional states. Bench mark dataset available online along with our own -prepared dataset containing images of Autism spectrum disorder childrens exhibiting a range of expressions will use for model training, testing and validation.
Keyword: Autism in children; machine learning; Computer vision; convolution neural network (CNN)
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DOI:
10.17148/IJARCCE.2024.134128
