Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …
symptoms that appear in early childhood. ASD is also associated with communication …
[HTML][HTML] Machine learning based on eye-tracking data to identify Autism Spectrum Disorder: A systematic review and meta-analysis
Background Machine learning has been widely used to identify Autism Spectrum Disorder
(ASD) based on eye-tracking, but its accuracy is uncertain. We aimed to summarize the …
(ASD) based on eye-tracking, but its accuracy is uncertain. We aimed to summarize the …
A machine learning framework for early-stage detection of autism spectrum disorders
Autism Spectrum Disorder (ASD) is a type of neurodevelopmental disorder that affects the
everyday life of affected patients. Though it is considered hard to completely eradicate this …
everyday life of affected patients. Though it is considered hard to completely eradicate this …
A review of machine learning and deep learning for object detection, semantic segmentation, and human action recognition in machine and robotic vision
Machine vision, an interdisciplinary field that aims to replicate human visual perception in
computers, has experienced rapid progress and significant contributions. This paper traces …
computers, has experienced rapid progress and significant contributions. This paper traces …
A survey of advancements in real-time sign language translators: integration with IoT technology
Real-time sign language translation systems are of paramount importance in enabling
communication for deaf and hard-of-hearing individuals. This population relies on various …
communication for deaf and hard-of-hearing individuals. This population relies on various …
Applying eye tracking with deep learning techniques for early-stage detection of autism spectrum disorders
ZAT Ahmed, E Albalawi, THH Aldhyani, ME Jadhav… - Data, 2023 - mdpi.com
Autism spectrum disorder (ASD) poses a complex challenge to researchers and
practitioners, with its multifaceted etiology and varied manifestations. Timely intervention is …
practitioners, with its multifaceted etiology and varied manifestations. Timely intervention is …
Machine learning-based early diagnosis of autism according to eye movements of real and artificial faces scanning
F Meng, F Li, S Wu, T Yang, Z Xiao, Y Zhang… - Frontiers in …, 2023 - frontiersin.org
Background Studies on eye movements found that children with autism spectrum disorder
(ASD) had abnormal gaze behavior to social stimuli. The current study aimed to investigate …
(ASD) had abnormal gaze behavior to social stimuli. The current study aimed to investigate …
Internet of things (IOT) awareness in Greece
Internet of Things (IoT) is a technology in which objects are embedded with sensors,
software, and other technologies to connect and exchange data with other devices and …
software, and other technologies to connect and exchange data with other devices and …
Autism detection in High-Functioning Adults with the application of Eye-Tracking technology and Machine Learning
KF Kollias, CK Syriopoulou-Delli… - … on Modern Circuits …, 2022 - ieeexplore.ieee.org
High-Functioning Autism Detection in Adults is significantly difficult compared with early
Autism Spectrum Disorder (ASD) diagnosis with severe symptoms. ASD diagnosis is usually …
Autism Spectrum Disorder (ASD) diagnosis with severe symptoms. ASD diagnosis is usually …
Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture
We propose the use of a deep learning architecture, called RETINA, to predict multi-
alternative, multi-attribute consumer choice from eye movement data. RETINA directly uses …
alternative, multi-attribute consumer choice from eye movement data. RETINA directly uses …