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, 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 ...

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

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 ...

Looking back on my lifelong history of learning experiences, the ones that I would rank as most effective and memorable were the ones in which the instructor truly saw me, understood my motivations ...