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 ...

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 ...

The university’s two newest Ph.D. programs in cognitive science and physics offer diverse research opportunities for students and help them gain the skills and abilities needed to analyze data and ...

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 ...

Wearables analyse physiological signals like heart-rate variability, skin temperature & changes in sweat production.

Human-centred computing represents a paradigm that places the user at the core of system design and evaluation. This approach integrates principles from human–computer interaction, user-centred design ...