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 …

Eye tracking-based diagnosis and early detection of autism spectrum disorder using machine learning and deep learning techniques

IA Ahmed, EM Senan, TH Rassem, MAH Ali… - Electronics, 2022 - mdpi.com
Eye tracking is a useful technique for detecting autism spectrum disorder (ASD). One of the
most important aspects of good learning is the ability to have atypical visual attention. The …

Eye tracking biomarkers for autism spectrum disorder detection using machine learning and deep learning techniques

RA Jeyarani, R Senthilkumar - Research in Autism Spectrum Disorders, 2023 - Elsevier
Eye tracking is a promising tool for Autism Spectrum Disorder (ASD) detection in both
children and adults. An important aspect of social communication is keeping eye contact …

What are the users' needs? Design of a user-centered explainable artificial intelligence diagnostic system

X He, Y Hong, X Zheng, Y Zhang - International Journal of Human …, 2023 - Taylor & Francis
The application of artificial intelligence (AI) systems has surged in the high-risk area of
medicine, and these systems must explain their decisions to different users. However …

Eye-tracking correlates of response to joint attention in preschool children with autism spectrum disorder

RA de Belen, H Pincham, A Hodge, N Silove… - BMC psychiatry, 2023 - Springer
Background A number of differences in joint attention behaviour between children with
autism spectrum disorder (ASD) and typically developing (TD) individuals have previously …

Scanpathnet: A recurrent mixture density network for scanpath prediction

RAJ de Belen, T Bednarz… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Understanding the mechanisms underlying human visual attention is an important research
problem in cognitive neuroscience and computer vision. While existing models predict …

Real-time gaze tracking with head-eye coordination for head-mounted displays

L Chen, Y Li, X Bai, X Wang, Y Hu… - … on Mixed and …, 2022 - ieeexplore.ieee.org
High-accuracy, low-latency gaze tracking is becoming one of the indispensable features in
augmented reality (AR) head-mounted devices (HMDs). Researchers have proposed …

Twips: A large language model powered texting application to simplify conversational nuances for autistic users

R Haroon, F Dogar - Proceedings of the 26th International ACM …, 2024 - dl.acm.org
Autistic individuals often experience difficulties in conveying and interpreting emotional tone
and non-literal nuances. Many also mask1 their communication style to avoid being …

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 …

[HTML][HTML] Enhancing Autism Detection Through Gaze Analysis Using Eye Tracking Sensors and Data Attribution with Distillation in Deep Neural Networks

F Colonnese, F Di Luzio, A Rosato, M Panella - Sensors, 2024 - mdpi.com
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by
differences in social communication and repetitive behaviors, often associated with atypical …