Deep learning with image-based autism spectrum disorder analysis: A systematic review

MZ Uddin, MA Shahriar, MN Mahamood… - … Applications of Artificial …, 2024 - Elsevier
Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …

[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 …

Discriminative few shot learning of facial dynamics in interview videos for autism trait classification

N Zhang, M Ruan, S Wang, L Paul… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Autism is a prevalent neurodevelopmental disorder characterized by impairments in social
and communicative behaviors. Possible connections between autism and facial expression …

Real-time facial emotion recognition model based on kernel autoencoder and convolutional neural network for autism children

FM Talaat, ZH Ali, RR Mostafa, N El-Rashidy - Soft Computing, 2024 - Springer
Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that is
characterized by abnormalities in the brain, leading to difficulties in social interaction and …

Human attention assessment using a machine learning approach with gan-based data augmentation technique trained using a custom dataset

S Pepe, S Tedeschi, N Brandizzi, S Russo, L Iocchi… - OBM …, 2022 - lidsen.com
Human–robot interactions require the ability of the system to determine if the user is paying
attention. However, to train such systems, massive amounts of data are required. In this …

Modified meta heuristic BAT with ML classifiers for detection of autism spectrum disorder

M Sha, A Alqahtani, S Alsubai, AK Dutta - Biomolecules, 2023 - mdpi.com
ASD (autism spectrum disorder) is a complex developmental and neurological disorder that
impacts the social life of the affected person by disturbing their capability for interaction and …

Autism spectrum disorder detection using transfer learning with VGG 19, inception V3 and DenseNet 201

MF Rabbi, FT Zohra, F Hossain, NN Akhi… - … Conference on Recent …, 2022 - Springer
A person with autism or autism spectrum disorder (ASD) has trouble recognizing,
socializing, and communicating with others. ASD is not only about one situation. In fact, it …

Personalization of affective models using classical machine learning: a feasibility study

A Kargarandehkordi, M Kaisti, P Washington - Applied Sciences, 2024 - mdpi.com
Emotion recognition, a rapidly evolving domain in digital health, has witnessed significant
transformations with the advent of personalized approaches and advanced machine …

Emotional Intelligence for the Decision-Making Process of Trajectories in Collaborative Robotics

MG Antonelli, P Beomonte Zobel, C Manes, E Mattei… - Machines, 2024 - mdpi.com
In collaborative robotics, to improve human–robot interaction (HRI), it is necessary to avoid
accidental impacts. In this direction, several works reported how to modify the trajectories of …

Attention Level Evaluation in Children With Autism: Leveraging Head Pose and Gaze Parameters From Videos for Educational Intervention

EB Varghese, M Qaraqe… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In children with autism spectrum disorders (ASDs), assessing attention is crucial to
understanding their behavioral and cognitive functioning. Attention difficulties are a common …