Background Machine learning has been widely used to identify Autism Spectrum Disorder
(ASD) based on eye-tracking, but its accuracy is uncertain. We aimed to summarize the …

Autism spectrum disorder (ASD) is a neurodevelopmental disorder associated with brain
development that subsequently affects the physical appearance of the face. Autistic children …

At present, various electronic devices are used to monitor human heart rates. However, its
functions are to avoid predicting the problems caused by heart rate variability in advance …

The greatest challenge in autism spectrum disorder (ASD) detection and treatment arises
from the elusive etiological origins and heterogeneity of ASD. ET-EEG correlative analytics …

Internet of Things (IoT) technology in user experience design has transformed its use of
digital devices and apps. This transformation includes real-time user gaze analysis, which …

The drowsiness of the drivers might increase road accidents. Nowadays, computer vision
and image processing technology can solve the problem and decrease the number of …

Autism spectrum disorder (ASD) poses a complex challenge to researchers and
practitioners, with its multifaceted etiology and varied manifestations. Timely intervention is …

Autism spectrum disorder (ASD), or autism, can be diagnosed based on a lack of behavioral
skills and social communication. The most prominent method of diagnosing ASD in children …

The potentials of Transfer Learning (TL) have been well-researched in areas such as
Computer Vision and Natural Language Processing. This study aims to explore a novel …

Monitoring student activity manually constantly is a laborious endeavor. Over the past few
years, there has been a rapid expansion in the usage of cameras and the automatic …