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Deep learning with image-based autism spectrum disorder analysis: A systematic review
Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …
Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019
The current state of computer vision methods applied to autism spectrum disorder (ASD)
research has not been well established. Increasing evidence suggests that computer vision …
research has not been well established. Increasing evidence suggests that computer vision …
The key artificial intelligence technologies in early childhood education: a review
Artificial Intelligence (AI) technologies have been applied in various domains, including
early childhood education (ECE). Integration of AI educational technology is a recent …
early childhood education (ECE). Integration of AI educational technology is a recent …
Automatic emotion recognition in children with autism: a systematic literature review
Background: Open Access Systematic Review Automatic Emotion Recognition in Children
with Autism: A Systematic Literature Review by Agnieszka Landowska 1,*, Aleksandra …
with Autism: A Systematic Literature Review by Agnieszka Landowska 1,*, Aleksandra …
Vision-assisted recognition of stereotype behaviors for early diagnosis of autism spectrum disorders
Medical diagnosis supported by computer-assisted technologies is getting more popularity
and acceptance among medical society. In this paper, we propose a non-intrusive vision …
and acceptance among medical society. In this paper, we propose a non-intrusive vision …
Vision-based activity recognition in children with autism-related behaviors
Advances in machine learning and contactless sensors have enabled the understanding
complex human behaviors in a healthcare setting. In particular, several deep learning …
complex human behaviors in a healthcare setting. In particular, several deep learning …
Toward children's empathy ability analysis: Joint facial expression recognition and intensity estimation using label distribution learning
J Chen, C Guo, R Xu, K Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Empathy ability is one of the most important social communication skills in early childhood
development. To analyze the children's empathy ability, facial expression analysis (FEA) is …
development. To analyze the children's empathy ability, facial expression analysis (FEA) is …
The current view on the paradox of pain in autism spectrum disorders
Autism spectrum disorder (ASD) is a neurodevelopmental disorder, which affects 1 in 44
children and may cause severe disabilities. Besides socio-communicational difficulties and …
children and may cause severe disabilities. Besides socio-communicational difficulties and …
A comprehensive analysis towards exploring the promises of AI-related approaches in autism research
Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that presents
challenges in communication, social interaction, repetitive behaviour, and limited interests …
challenges in communication, social interaction, repetitive behaviour, and limited interests …
New technologies as promising tools for assessing facial emotion expressions impairments in ASD: a systematic review
K Briot, A Pizano, M Bouvard, A Amestoy - Frontiers in psychiatry, 2021 - frontiersin.org
The ability to recognize and express emotions from facial expressions are essential for
successful social interactions. Facial Emotion Recognition (FER) and Facial Emotion …
successful social interactions. Facial Emotion Recognition (FER) and Facial Emotion …