In clinical settings, accurately understanding patients' emotions and responding appropriately plays a critical role in improving treatment outcomes and patient satisfaction. This technology acquires ...

Emotion recognition artificial intelligence (Emotion AI) refers to AI which uses various biometric and other data sets such as facial expressions, keystrokes, tone of voice and behavioural mannerisms ...

This study addresses the challenges in teacher emotion recognition (TER), namely the lack of high-quality multimodal datasets and insufficient modeling of common and discriminative emotional features ...

For recognizing people's emotions, facial expressions do play an important role. However, they are not the only crucial factor. A person's facial expression provides crucial information for us to ...

A new study challenges the longstanding belief that fear is primarily communicated through facial expressions, showing instead that context plays the dominant role in real-life fear recognition. By ...

Illustration of person distracted Attention deficit hyperactivity disorder and autism spectrum disorder in adults are often undiagnosed and overlap in psychopathology. In this study, the researchers ...

Understanding customers’ needs and feedback has always been important for businesses. But it’s not just about identifying whether customers are satisfied or dissatisfied; the real value lies in ...

Facial recognition technology has progressed to a point where it now interprets emotions in facial expressions. This type of analysis is increasingly used in daily life. For example, companies can use ...

Accurate perceptions of emotions are essential for successful social interactions. Emotions are divided into different categories, such as basic emotions (anger, fear, disgust, happiness, sadness, and ...

As social creatures, we like to think we're good at reading others' emotions. After all, isn’t understanding a friend’s sorrow or a colleague’s frustration key to building meaningful relationships? It ...