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 ...

The affective computing market valuation is predicted to surpass USD 446.6 billion by 2032, reported in a research analysis by Global Market Insights Inc. This rapid expansion is largely fueled by the ...

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 ...

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 ...

It’s time for change – we urgently need a more human interface for the AI age, says Ali Shafti, Head of Human-Machine Understanding at Cambridge Consultants, part of Capgemini Invent. Applying HMU in ...

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 ...

"This year at CES marks a milestone for us," said Dr. Zhang Jiaming, Founder and CEO of Mind With Heart Robotics. Our vision is to develop biomimetic companions across multiple form factors, each ...

The project is in the area of Computer Vision and Machine Learning for the analysis of actions, activity and behaviour with an application in the field of Affective Computing and Mental Health. More ...