Abstract
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder. Neurodevelopmental disorders are related to the brain development and consequent changes occur in facial tissues. The changes in facial tissues lead to changes in face landmarks. Facial landmarks are the pin points in face that helps to identify different parts in face. ASD individuals have differences in facial landmarks compared to non ASD individuals of similar age group due to the developmental delay in brain. Effective and reliable algorithms to process facial images are artificial neural networks (ANN). Dataset for present research study are collected from autism parenting group and from other web sources. Collected dataset includes male and female ASD and non ASD individuals of 1–10 years of age. Present research helps parents, pediatricians, neurologists to assess and detect ASD in kids and also to analyze ASD severity in individuals. The early detection and analysis of ASD helps to give better treatment and to give better life to ASD children.
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Lakshmi Praveena, T., Muthu Lakshmi, N.V. (2020). A Methodology for Detecting ASD from Facial Images Efficiently Using Artificial Neural Networks. In: Jyothi, S., Mamatha, D., Satapathy, S., Raju, K., Favorskaya, M. (eds) Advances in Computational and Bio-Engineering. CBE 2019. Learning and Analytics in Intelligent Systems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-030-46939-9_31
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