[HTML][HTML] Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …
and modalities using questionnaires, physical signals, and physiological signals. Recently …
Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and …
The artificial intelligence (AI) trend to embrace Autism Spectrum Disorder (ASD) has
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …
Autism spectrum disorder diagnostic system using HOS bispectrum with EEG signals
Autistic individuals often have difficulties expressing or controlling emotions and have poor
eye contact, among other symptoms. The prevalence of autism is increasing globally, posing …
eye contact, among other symptoms. The prevalence of autism is increasing globally, posing …
An EEG based channel optimized classification approach for autism spectrum disorder
D Haputhanthri, G Brihadiswaran… - 2019 Moratuwa …, 2019 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition which affects a
person's cognition and behaviour. It is a lifelong condition which cannot be cured completely …
person's cognition and behaviour. It is a lifelong condition which cannot be cured completely …
Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigm
Our emotions and sentiments are influenced by naturalistic stimuli such as the movies we
watch and the songs we listen to, accompanied by changes in our brain activation …
watch and the songs we listen to, accompanied by changes in our brain activation …
EEG based autism detection using CNN through correlation based transformation of channels' data
Early diagnosis of autism or autism spectrum disorder (ASD) can help improving behavioral,
language development and communication skill. As ASD is a neurodevelopmental disorder …
language development and communication skill. As ASD is a neurodevelopmental disorder …
Behavioral modeling using deep neural network framework for ASD diagnosis and prognosis
The algorithms based on Machine Learning (ML) demand handcrafted features for data
recognition and classification. Deep learning, on the other hand, directly extracts the …
recognition and classification. Deep learning, on the other hand, directly extracts the …
LSTM-based electroencephalogram classification on autism spectrum disorder
NA Ali, SA Radzi, S Jaafar… - … Journal of Integrated …, 2021 - publisher.uthm.edu.my
Autism Spectrum Disorder (ASD) is categorized as a neurodevelopmental disability. Having
an automated technology system to classify the ASD trait would have a huge influence on …
an automated technology system to classify the ASD trait would have a huge influence on …
Transfer Learning and Hybrid Deep Convolutional Neural Networks Models for Autism Spectrum Disorder Classification from EEG Signals
Autism spectrum disorder (ASD) is a developmental disease characterised by restricted and
repetitive behaviours, as well as difficulty in social communication and interaction, in …
repetitive behaviours, as well as difficulty in social communication and interaction, in …
Detection of autism in children by the EEG behavior using hybrid bat algorithm-based ANFIS classifier
Autism spectrum disorder (ASD) is basically a varied neurodevelopmental disorder which
affects the developmental curve in numerous behavioral domains. This includes the …
affects the developmental curve in numerous behavioral domains. This includes the …