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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 114
Article Submitted : 18802
Article Published : 7888
Total Authors : 20844
Total Reviewer : 759
Total Countries : 142
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Published Paper Details
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| Paper Title: | Child autism diagnosis using deep learning-based facial expression analysis |
| Authors Name: | Ch.Lavanya Susanna , U.Dhanalakshmi , A.Anusha , P.Harshitha , B.Harsha |
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IJRTI_189186
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| Published Paper Id: | IJRTI2402033 |
| Published In: | Volume 9 Issue 2, February-2024 |
| DOI: | |
| Abstract: | Autism Spectrum Disorder (ASD) is a group of neurodevelopmental diseases associated with behavior, social interaction, and communication. Within the first two years of life, or during developmental phases, the disease's symptoms typically manifest. There are two approaches to ASD diagnosis and rehabilitation. The first is the manual method, based on observation or interviews that primarily entails the analysis of behavioral symptoms. The other approach makes use of EEG readings, brain MRIs, and conventional machine learning (ML) for automatic diagnosis. ASD cannot currently be diagnosed using a diagnostic test, which makes the diagnosis difficult. This paper has explored the early detection of Autism Spectrum Disorder (ASD) by identifying autistic children by face feature recognition using a Convolutional Neural Network. The accuracy of the suggested method is 99%, which is higher than the results of existing systems like SVM and mobileNet algorithms, which only provide 70% accuracy. With the use of a Deep Learning-based strategy that incorporates face analysis, our findings should greatly help researchers, therapists, psychologists, and other pertinent stakeholders in the advancement of ASD screening, monitoring, and diagnosis. |
| Keywords: | Machine Learning models, Deep Learning models, Autism Spectrum Disorder, Facial features extraction |
| Cite Article: | "Child autism diagnosis using deep learning-based facial expression analysis", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 2, page no.208 - 216, February-2024, Available :http://www.ijrti.org/papers/IJRTI2402033.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2402033
Registration ID:189186
Published In: Volume 9 Issue 2, February-2024
DOI (Digital Object Identifier):
Page No: 208 - 216 Country: vijayawada-8,krishna dist, Andhra Pradesh, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2402033 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2402033 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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