The advent of human emotion data availability signifies a pivotal advancement, propelling
intelligent systems to elevate human-technology interaction. The fusion of emotions with …

In recent years, the rapid growth of online learning has highlighted the need for effective
methods to monitor and improve student experiences. Emotions play a crucial role in …

Emotion recognition is a strategy for social robots used to implement better Human-Robot
Interaction and model their social behaviour. Since human emotions can be expressed in …

Social robotics is an emerging area that is becoming present in social spaces, by
introducing autonomous social robots. Social robots offer services, perform tasks, and …

Multimodal methods for emotion recognition consider several sources of data to predict
emotions; thus, a fusion method is needed to aggregate the individual results. In the …

Human social interaction is a multimodal process that integrates several communication
channels, such as speech, facial expressions, body gestures, and touch. For intelligent …

Emotion recognition has become increasingly important in the field of Deep Learning (DL)
and computer vision due to its broad applicability by using human–computer interaction …

We documented the relabeling process for a subset of a renowned database for emotion-in-
context recognition, with the aim of promoting reliability in final labels. To this end, emotion …

Recommender systems in education improve the teacher's working process by providing
relevant resources to aid his course design in addition to learning new teaching …

In the context of Human-Robot Interaction (HRI), emotional understanding is becoming more
popular because it turns robots more humanized and user-friendly. Giving a robot the ability …