Autism Spectrum Disorder Classification via Local and Global Feature Representation of Facial Image
Conference paper
Mahamood, M. N., Uddin, M. Z., Shahriar, M. A., Alnajjar, F. and Ahad, M. A. R. 2023. Autism Spectrum Disorder Classification via Local and Global Feature Representation of Facial Image. SMC 2023: IEEE International Conference on Systems, Man, and Cybernetics. Hawaii, USA 01 - 04 Oct 2023 IEEE. https://doi.org/10.1109/SMC53992.2023.10394092
Authors | Mahamood, M. N., Uddin, M. Z., Shahriar, M. A., Alnajjar, F. and Ahad, M. A. R. |
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Type | Conference paper |
Abstract | Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that affects social communication and interaction. Early diagnosis of ASD can mitigate the severity and help with ideal treatment direction. Computer vision-based methods with traditional machine learning and deep learning are employed in the literature for automatic diagnosis. Recently, deep learning with a facial image-based ASD classification has gained interest due to its ease of collection and non-invasiveness. We observed that the existing approaches utilized either local or global features of facial images to diagnose ASD. However, its important to consider both local and global features to obtain fine-grained details and larger contextual information for accurate detection and classification. This paper proposes a sequencer-based patch-wise Local Feature Extractor along with a Global Feature Extractor. Finally, the features from these modules are aggregated to obtain the final feature for the classification of ASD. Experiments on a publicly available Autism Facial Image Dataset demonstrate that our proposed framework achieves state-of-the-art performance. We achieved accuracy, precision, recall, and F1-score of 94.7%, 94.0%, 95.3%, and 94.6%, respectively. |
Keywords | Autism; ASD; Facial image; AI |
Year | 2023 |
Conference | SMC 2023: IEEE International Conference on Systems, Man, and Cybernetics |
Publisher | IEEE |
Accepted author manuscript | License File Access Level Anyone |
Publication dates | |
Online | 29 Jan 2024 |
Publication process dates | |
Deposited | 25 Nov 2023 |
Journal citation | pp. 1892-1897 |
ISSN | 2577-1655 |
1062-922X | |
Book title | Proceedings for 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) |
ISBN | 9798350337020 |
9798350337037 | |
Funder | Department of Information and Communication Technology, Government of the People's Republic of Bangladesh |
Digital Object Identifier (DOI) | https://doi.org/10.1109/SMC53992.2023.10394092 |
Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/conhome/10391856/proceeding |
Copyright holder | © 2023, IEEE |
Copyright information | Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
https://repository.uel.ac.uk/item/8wz32
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