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 ...

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.

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 ...

Electronically detecting the mood of a computer user via sensors, cameras, keystroke rhythm detection and other physical means. Affective computing implies that the emotional state of the user can be ...

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 ...

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 ...

Emotion-detecting AI bridges human feelings and technology, offering benefits while sparking important debates on privacy and ethical use. Pixabay, Alexandra_Koch Emotion AI, also known as affective ...

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 ...

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 ...