Emotions are a fundamental part of human psychology—a complex process that has long distinguished us from machines. Even advanced artificial intelligence (AI) lacks the capacity to feel. However, ...

Affective computing is an interdisciplinary domain merging computer science, psychology, neuroscience and engineering to create systems that detect, interpret and respond to human emotions. By ...

Affective computing, a field focused on understanding and emulating human emotions, has seen significant advancements thanks to deep learning. However, researchers at the Technical University of ...

AI is undoubtedly reshaping our lives, but there’s still a great deal of hype surrounding it. One of today’s most popular narratives is that machines are learning to understand human feelings and ...

Affective computing, proposed by Picard in 1997, aims to endow computational systems with the ability to recognize, interpret, and respond to human emotions. Early studies relied primarily on ...

Emotion recognition through facial thermal imaging offers a non-invasive and contact-free approach to understanding human affect by capturing subtle temperature variations across facial regions. This ...