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

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 ...

Stressful times call for…well, Artificial Intelligence! Over the past few years, the market for wearable technology geared to detecting stress and monitoring our mental and emotional well-being has ...

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 an interdisciplinary domain merging computer science, psychology, neuroscience and engineering to create systems that detect, interpret and respond to human emotions. By ...

An emotion recognition tool - developed by University of the West of Scotland (UWS) academics - could help people with neurodiverse conditions including autism. Traditionally, emotion recognition has ...