The keywords assigned to papers by authors in the field of affective computing were analyzed for frequency and co-occurrence, and the core keywords among them were clustered to get five clusters.

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Affective computing uses various signals, such as facial expressions, voice and language cues, alongside physiological signals and wearable sensors to analyze and synthesize affect. While deep ...

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 is a branch of computer science that creates user interfaces with a more intuitive touch. It’s a type of AI software which is used to gauge human emotion through a wide range of ...

A new and comprehensive review of affective computing outlines recent advancements, challenges, and future trends. ‘Examine how affective computing leverage advancements in technology and cognitive ...

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 ...

In a quiet breakfast cafe, on a sunny October morning in Boston, I am watching a gang of five animated emotions control the thoughts of a little girl called Riley. On an iPad screen, the green ...

The clinical, emotionless computer or robot is a staple of science fiction, but science fact is starting to change: computers are getting much better at understanding emotions. As we turn to computers ...

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 ...