Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …

Facial expressions are mirrors of human thoughts and feelings. It provides a wealth of social
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …

Recognizing facial expressions is a challenging task both for computers and humans.
Although recent deep learning-based approaches are achieving high accuracy results in …

An intriguing challenge in the human–robot interaction field is the prospect of endowing
robots with emotional intelligence to make the interaction more genuine, intuitive, and …

Today, computer vision algorithms are very important for different fields and applications,
such as closed-circuit television security, health status monitoring, and recognizing a …

Affective computing can be implemented across many fields in order to provide a unique
experience by tailoring services and products according to each person's needs and …

Facial Expression Recognition (FER) plays an important role in human-computer
interactions and is used in a wide range of applications. Convolutional Neural Networks …

We consider a service robot that offers chocolate treats to people passing in its proximity: it
has the capability of predicting in advance a person's intention to interact, and to actuate an" …

The paper focuses on real-time facial expression recognition (FER) systems as an important
component in various real-world applications such as social robotics. We investigate two …

This research presents the technical considerations for implementing the CeCi (Computer
Electronic Communication Interface) social robot. In this case, this robot responds to the …