Multi-Modal Framework for Autism Severity Assessment Using Spatio-Temporal Graph Transformers

Kush Gupta; Amir Aly; Emmanuel Ifeachor

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Paper

Multi-Modal Framework for Autism Severity Assessment Using Spatio-Temporal Graph Transformers

Topics: Medical Artificial Intelligence; Pattern Recognition and Machine Learning

In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: , 686-693, 2025 , Porto, Portugal

Authors: Kush Gupta ; Amir Aly and Emmanuel Ifeachor

Affiliation: University of Plymouth, Plymouth, U.K.

Keyword(s): Autism Spectrum Disorder, Severity, Spatio-Temporal Graph Transformer, Multi-Modal Data.

Abstract: Diagnosing Autism Spectrum Disorder (ASD) remains challenging, as it often relies on subjective evaluations and traditional methods using fMRI data. This paper proposes an innovative multi-modal framework that leverages spatiotemporal graph transformers to assess ASD severity using skeletal and optical flow data from the MMASD dataset. Our approach captures movement synchronization between children with ASD and therapists during play therapy interventions. The framework integrates a spatial encoder, a temporal transformer, and an I3D network for comprehensive motion analysis. Through this multi-modal approach, we aim to deliver reliable ASD severity scores, enhancing diagnostic accuracy and offering a scalable, robust alternative to traditional techniques.

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Paper citation in several formats:

Gupta, K., Aly, A. and Ifeachor, E. (2025). Multi-Modal Framework for Autism Severity Assessment Using Spatio-Temporal Graph Transformers. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF; ISBN 978-989-758-731-3; ISSN 2184-4305, SciTePress, pages 686-693. DOI: 10.5220/0013236900003911

@conference{healthinf25,
author={Kush Gupta and Amir Aly and Emmanuel Ifeachor},
title={Multi-Modal Framework for Autism Severity Assessment Using Spatio-Temporal Graph Transformers},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF},
year={2025},
pages={686-693},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013236900003911},
isbn={978-989-758-731-3},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF
TI - Multi-Modal Framework for Autism Severity Assessment Using Spatio-Temporal Graph Transformers
SN - 978-989-758-731-3
IS - 2184-4305
AU - Gupta, K.
AU - Aly, A.
AU - Ifeachor, E.
PY - 2025
SP - 686
EP - 693
DO - 10.5220/0013236900003911
PB - SciTePress