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Approaches, applications, and challenges in physiological emotion recognition—a tutorial overview
An automatic emotion recognition system can serve as a fundamental framework for various
applications in daily life from monitoring emotional well-being to improving the quality of life …
applications in daily life from monitoring emotional well-being to improving the quality of life …
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 …
[Retracted] Classification and Detection of Autism Spectrum Disorder Based on Deep Learning Algorithms
FW Alsaade, MS Alzahrani - Computational Intelligence and …, 2022 - Wiley Online Library
Autism spectrum disorder (ASD) is a type of mental illness that can be detected by using
social media data and biomedical images. Autism spectrum disorder (ASD) is a neurological …
social media data and biomedical images. Autism spectrum disorder (ASD) is a neurological …
Eye‐Tracking Analysis for Emotion Recognition
This article reports the results of the study related to emotion recognition by using eye‐
tracking. Emotions were evoked by presenting a dynamic movie material in the form of 21 …
tracking. Emotions were evoked by presenting a dynamic movie material in the form of 21 …
Convolutional neural network based emotion classification using electrodermal activity signals and time-frequency features
In this work, an attempt has been made to classify emotional states using Electrodermal
Activity (EDA) signals and Convolutional Neural Network (CNN) learned features. The EDA …
Activity (EDA) signals and Convolutional Neural Network (CNN) learned features. The EDA …
MIA-Net: Multi-modal interactive attention network for multi-modal affective analysis
When a multi-modal affective analysis model generalizes from a bimodal task to a trimodal
or multi-modal task, it is usually transformed into a hierarchical fusion model based on every …
or multi-modal task, it is usually transformed into a hierarchical fusion model based on every …
[HTML][HTML] A systematic literature review on the application of machine-learning models in behavioral assessment of autism spectrum disorder
Autism spectrum disorder (ASD) is associated with significant social, communication, and
behavioral challenges. The insufficient number of trained clinicians coupled with limited …
behavioral challenges. The insufficient number of trained clinicians coupled with limited …
[HTML][HTML] The past, the present, and the future of the evolution of mixed reality in teacher education
The authors in this article provide a historical view (past) on the development of mixed reality
(MR) simulation in teacher education as well as a brief history of simulation from other fields …
(MR) simulation in teacher education as well as a brief history of simulation from other fields …
Heart rate as a predictor of challenging behaviours among children with autism from wearable sensors in social robot interactions
Children with autism face challenges in various skills (eg, communication and social) and
they exhibit challenging behaviours. These challenging behaviours represent a challenge to …
they exhibit challenging behaviours. These challenging behaviours represent a challenge to …
A physiological signal database of children with different special needs for stress recognition
This study presents a new dataset AKTIVES for evaluating the methods for stress detection
and game reaction using physiological signals. We collected data from 25 children with …
and game reaction using physiological signals. We collected data from 25 children with …