[HTML][HTML] The contribution of machine learning and eye-tracking technology in autism spectrum disorder research: A systematic review
Early and objective autism spectrum disorder (ASD) assessment, as well as early
intervention are particularly important and may have long term benefits in the lives of ASD …
intervention are particularly important and may have long term benefits in the lives of ASD …
Emotion recognition across visual and auditory modalities in autism spectrum disorder: A systematic review and meta-analysis
An expanding literature has investigated emotion recognition across visual and auditory
modalities in autism spectrum disorder (ASD). Findings, however, have been highly …
modalities in autism spectrum disorder (ASD). Findings, however, have been highly …
[HTML][HTML] Computer-aided screening of autism spectrum disorder: eye-tracking study using data visualization and deep learning
Background: The early diagnosis of autism spectrum disorder (ASD) is highly desirable but
remains a challenging task, which requires a set of cognitive tests and hours of clinical …
remains a challenging task, which requires a set of cognitive tests and hours of clinical …
[HTML][HTML] Accurate detection of cerebellar smooth pursuit eye movement abnormalities via mobile phone video and machine learning
Eye movements are disrupted in many neurodegenerative diseases and are frequent and
early features in conditions affecting the cerebellum. Characterizing eye movements is …
early features in conditions affecting the cerebellum. Characterizing eye movements is …
Computer vision-based assessment of autistic children: Analyzing interactions, emotions, human pose, and life skills
In this paper, the proposed work implements and tests the computer vision applications to
perform the skill and emotion assessment of children with Autism Spectrum Disorder (ASD) …
perform the skill and emotion assessment of children with Autism Spectrum Disorder (ASD) …
Artificial intelligence based techniques for the detection of socio-behavioral disorders: a systematic review
M Mengi, D Malhotra - Archives of Computational Methods in Engineering, 2022 - Springer
In new era of emerging technologies, diagnosing the neurodevelopmental disorders at the
primitive stage has led to a rise in the development of automated diagnostic systems. Socio …
primitive stage has led to a rise in the development of automated diagnostic systems. Socio …
Review and analysis of patients' body language from an artificial intelligence perspective
Body language is a nonverbal communication process consisting of movements, postures,
gestures, and expressions of the body or body parts. Body language expresses human …
gestures, and expressions of the body or body parts. Body language expresses human …
Technology-assisted emotion recognition for autism spectrum disorder (ASD) children: a systematic literature review
The information about affective states in individuals with autism spectrum disorder (ASD) is
difficult to obtain as they usually suffer from deficits in facial expression. Affective state …
difficult to obtain as they usually suffer from deficits in facial expression. Affective state …
A review of early detection of autism based on eye-tracking and sensing technology
ZAT Ahmed, ME Jadhav - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
The current paper is a review of eye-tracking and sensing technologies that detect and
monitor Autism Spectrum Disorder (ASD). Nowadays, the biggest challenge is the detection …
monitor Autism Spectrum Disorder (ASD). Nowadays, the biggest challenge is the detection …
Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture
M Unger, M Wedel, A Tuzhilin - Data Mining and Knowledge Discovery, 2024 - Springer
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 …