Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …

Biometrics is a set of advanced technologies that use the physical or behavioral
characteristics of individuals to provide reliable access control. With the rapid development …

With the advances of data-driven machine learning research, a wide variety of prediction
problems have been tackled. It has become critical to explore how machine learning and …

Facial expression recognition is a hot research topic and can be applied in many computer
vision fields, such as human–computer interaction, affective computing and so on. In this …

Automatic human affect recognition is a key step towards more natural human-computer
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …

Although proper pain evaluation is mandatory for establishing the appropriate therapy, self‐
reported pain level assessment has several limitations. Data‐driven artificial intelligence (AI) …

Despite substantial progress in Facial Expression Recognition (FER) in recent decades,
most previous methods have been developed to recognize constrained facial expressions …

Abstract Background and Objective: The automatic assessment of pain is vital in designing
optimal pain management interventions focused on reducing suffering and preventing the …

Pain is a complex phenomenon, involving sensory and emotional experience, that is often
poorly understood, especially in infants, anesthetized patients, and others who cannot …

The collaborative filtering (CF) based models are capable of gras** the interaction or
correlation of users and items under consideration. However, existing CF-based methods …