Affective technology offers exciting opportunities to improve road safety by catering to
human emotions. Modern car interiors enable the contactless detection of user states …

Objective. Previous studies on emotion recognition from electroencephalography (EEG)
mainly rely on single-channel-based feature extraction methods, which ignore the functional …

Abstract Background Human Emotion Recognition (HER) has been a popular field of study
in the past years. Despite the great progresses made so far, relatively little attention has …

Emotion recognition is attracting the attention of the research community due to its multiple
applications in different fields, such as medicine or autonomous driving. In this paper, we …

The use of machine learning (ML) techniques in affective computing applications focuses on
improving the user experience in emotion recognition. The collection of input data (eg …

Emotion plays a significant role in perceiving external events or situations in daily life. Due to
ease of use and relative accuracy, Electroencephalography (EEG)-based emotion …

Online social networking has become a popular means of information exchange and social
interactions. Users of these platforms generate massive amounts of data about their …

This study provides of a comparative analysis of emotion estimation from facial expressions
under partial occlusion caused by face masks and extended reality (XR) headsets. Unlike …

Emotion detection research has gained significant attention across different scientific
disciplines, including Human-Computer Interaction and Ubiquitous Computing. In this work …

Recent advances in artificial intelligence combined with behavioral sciences have led to the
development of cutting-edge tools for recognizing human emotions based on text, video …