[HTML][HTML] Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review

O Banos, Z Comas-González, J Medina, A Polo… - International Journal of …, 2024 - Elsevier
Abstract Background Human Emotion Recognition (HER) has been a popular field of study
in the past years. Despite the great progresses made so far, relatively little attention has …

A study of coding learning amongst children: Motivation and learning performance

HF Hanafi, WA Mustafa, MN Idris… - … Technology and its …, 2023 - ieeexplore.ieee.org
Computer programming and coding now face several obstacles in aiding students to
improve their grasp of programming and coding. Furthermore, current programming …

[PDF][PDF] Refurbished and improvised model using convolution network for autism disorder detection in facial images

N Kaur, G Gupta - Indones. J. Electr. Eng. Comput. Sci, 2023 - pdfs.semanticscholar.org
The main quality of deep learning over conventional machine learning (ML) techniques
empowers firsthand uses in processing of images, speech recognition, medical imaging …

Comparison of the keras-lstm algorithms for classifying autism spectrum disorder using facial images

WY Kurniawan, PH Gunawan… - … Conference on Data …, 2023 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a neurodevel-opmental condition that affects early
childhood communication abilities, leading to depression and suicidal ideation. The CDC …

Deep learning approach to predict autism spectrum disorder: a systematic review and meta-analysis

Y Ding, H Zhang, T Qiu - BMC psychiatry, 2024 - Springer
Background The use of the deep learning (DL) approach has been suggested or applied to
identify childhood autism spectrum disorder (ASD). The capacity to predict ASD, however …

Effect of different modalities of facial images for diagnosis of ASD by deep neural network

MM Rashid, MS Alam, MA Haque, MY Ali… - AIP Conference …, 2024 - pubs.aip.org
This research aims to explore the potential of various facial image types in diagnosing
Autism Spectrum Disorder (ASD) through the application of deep learning neural networks. It …

Facial Feature Analysis for Autism Detection Using Deep Learning

A Singh, M Laroia, A Rawat, KR Seeja - International Conference On …, 2023 - Springer
One in hundred children worldwide, in the age range of three months to three years are
living with autism spectrum disorder (ASD), leading to a significant difference in their fine …

[HTML][HTML] Autism Identification Based on the Intelligent Analysis of Facial Behaviors: An Approach Combining Coarse-and Fine-Grained Analysis

J Chen, C Chen, R Xu, L Liu - Children, 2024 - mdpi.com
Background: Facial behavior has emerged as a crucial biomarker for autism identification.
However, heterogeneity among individuals with autism poses a significant obstacle to …

Addressing the challenge of dataset acquisition for ASD diagnosis with deep learning-based neural networks

MS Alam, MM Rashid, MY Ali, S Yvette - AIP Conference Proceedings, 2024 - pubs.aip.org
The abstract examines the need for prompt and accurate diagnosis of Autism Spectrum
Disorder (ASD), a neurodevelopmental disorder characterized by difficulties in social …

Transfer Learning Approach for Detection of Autism Spectrum Disorder using Facial Images

K Patel, A Ramanuj, S Sakhiya… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is characterized by deficits in social interaction,
communication issues, and repetitive behavioral patterns. Effective ASD intervention and …