Deep learning with image-based autism spectrum disorder analysis: A systematic review

MZ Uddin, MA Shahriar, MN Mahamood… - … Applications of Artificial …, 2024 - Elsevier
Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …

A virtual reality based system for the screening and classification of autism

M Robles, N Namdarian, J Otto… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Autism-also known as Autism Spectrum Disorders or Autism Spectrum Conditions-is a
neurodevelopmental condition characterized by repetitive behaviours and differences in …

[HTML][HTML] Gaze analysis: A survey on its applications

C Bisogni, M Nappi, G Tortora, A Del Bimbo - Image and Vision Computing, 2024 - Elsevier
The examination of ocular movements has a wide range of applications due to the current
developments in sensors that are now able to collect this biometric. This type of investigation …

A unified framework to stereotyped behavior detection for screening Autism Spectrum Disorder

CH Yoo, JH Yoo, MK Back, WJ Wang… - Pattern Recognition Letters, 2024 - Elsevier
We propose a unified pipeline for the task of stereotyped behaviors detection for early
diagnosis of Autism Spectrum Disorder (ASD). Current methods for analyzing autism-related …

Detection of autism spectrum disorder from changing of pupil diameter using multi-modal feature fusion based hybrid CNN model

D Çetintaş, T Tuncer, A Çınar - Journal of Ambient Intelligence and …, 2023 - Springer
This paper presents an multimodal feature fusion hybrid-CNN method to discriminate
between typically develo** (TD) and patients having autism spectrum disorder (ASD) …

EYE-C: eye-contact robust detection and analysis during unconstrained child-therapist interactions in the clinical setting of autism spectrum disorders

G Alvari, L Coviello, C Furlanello - Brain Sciences, 2021 - mdpi.com
The high level of heterogeneity in Autism Spectrum Disorder (ASD) and the lack of
systematic measurements complicate predicting outcomes of early intervention and the …

Using visual attention estimation on videos for automated prediction of autism spectrum disorder and symptom severity in preschool children

RAJ de Belen, V Eapen, T Bednarz, A Sowmya - Plos one, 2024 - journals.plos.org
Atypical visual attention in individuals with autism spectrum disorders (ASD) has been
utilised as a unique diagnosis criterion in previous research. This paper presents a novel …

Enhanced multilevel autism classification for children using eye-tracking and hybrid CNN-RNN deep learning models

S Cheekaty, G Muneeswari - Neural Computing and Applications, 2024 - Springer
This article aims to improve the detection of ASD in children using ET data and advanced
ML techniques. ASD, a neurodevelopmental disorder characterized by impairments in social …

A Convolutional Deep Neural Network Approach to Predict Autism Spectrum Disorder Based on Eye-Tracking Scan Paths

M Alsaidi, N Obeid, N Al-Madi, H Hiary, I Aljarah - Information, 2024 - mdpi.com
Autism spectrum disorder (ASD) is a developmental disorder that encompasses difficulties in
communication (both verbal and non-verbal), social skills, and repetitive behaviors. The …

[PDF][PDF] ZEALOUS PARTICLE SWARM OPTIMIZATION BASED RELIABLE MULTI-LAYER PERCEPTRON NEURAL NETWORKS FOR AUTISM SPECTRUM …

BS Kumar, D Jayaraj - Journal of Theoretical and Applied Information …, 2023 - jatit.org
Individuals with autism spectrum disorder (ASD) struggle with social interaction and learning
skills throughout their lives. An early and precise diagnosis of ASD is crucial for designing …