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 ...

Rosalind Picard’s research is dedicated to making intangible emotions measureable through “wearable technology” and novel techniques—with applications from autism communication to human-computer ...

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 learning in physical education and sports has recently emerged as a focal point in educational research, reflecting broader shifts in the ...