The spread of Unmanned Aerial Vehicles (UAVs) in the last decade revolutionized many
applications fields. Most investigated research topics focus on increasing autonomy during …

The automatic detection of eye positions, their temporal consistency, and their map** into
a line of sight in the real world (to find where a person is looking at) is reported in the …

Facial expression is one form of communication which being non‐verbal in nature precedes
verbal communication in both origin and conception. Most of the existing methods for …

In computer vision, the convolutional neural network (CNN) is a very popular model used for
emotion recognition. It has been successfully applied to detect various objects in digital …

Nowadays, facial expression recognition (FER) has drawn considerable attention from the
research community in various application domains due to the recent advancement of deep …

Automated assessment of patients with Parkinson's disease (PD) is urgently required in
clinical practice to improve the diagnostic efficiency and objectivity and to remotely monitor …

We propose the idea of using an open data set of doctor-patient interactions to develop
artificial empathy based on facial emotion recognition. Facial emotion recognition allows a …

Background and objective The promising use of artificial intelligence (AI) to emulate human
empathy may help a physician engage with a more empathic doctor-patient relationship …

Autism spectrum disorder (ASD) is a developmental disorder associated with cognitive and
neurobehavioral disorders. It affects the person's behavior and performance. Autism affects …

Abstract The emergence of Artificial Intelligence (AI) has already brought several
advantages to the healthcare sector. Computer Vision (CV) is one of the growing modern AI …