The omnipresence of numerous information sources in our daily life brings up new
alternatives for emotion recognition in several domains including e-health, e-learning …

Emotion, mood, and stress recognition (EMSR) has been studied in laboratory settings for
decades. In particular, physiological signals are widely used to detect and classify affective …

Emotions are multimodal processes that play a crucial role in our everyday lives.
Recognizing emotions is becoming more critical in a wide range of application domains …

Emotions are complicated psycho-physiological processes that are related to numerous
external and internal changes in the body. They play an essential role in human-human …

Research suggests that emotionally responsive machines that can simulate empathy
increase de acceptance of users towards them, as the feeling of affinity towards the machine …

In today's digital information society, mathematical and computational skills are becoming
increasingly important. With the demand for mathematical and computational literacy rising …

Detecting emotions in virtual meetings can be a demanding task for humans due to
technological constraints of current videoconferencing systems. AI-based emotion analytics …

Federated Learning (FL), which has been employed to train machine learning models on the
data with a distributed manner, could enhance the immersive user experience for the human …

The computer vision applications in intelligent tutoring systems (ITS) have enabled its use in
various domains such as dance and sports. The adaptation in the tutoring system is based …

BACKGROUND-Automatic emotion recognition has powerful and interesting opportunities in
the clinical field, but several critical aspects are still open, such as heterogeneity of …