Recognition and analysis of human emotions have attracted a lot of interest in the past two
decades and have been researched extensively in neuroscience, psychology, cognitive …

Affective computing is an emerging research area which provides insights on human's
mental state through human-machine interaction. During the interaction process, bio-signal …

'Affective computing'is a branch of computing concerned with the theory and construction of
machines which can detect, respond to, and simulate human emotional states. It is an …

Automatic understanding of human affect using visual signals is of great importance in
everyday human–machine interactions. Appraising human emotional states, behaviors and …

Research in affective computing requires ground truth data for training and benchmarking
computational models for machine-based emotion understanding. In this paper, we propose …

In recent years, the use of bio-sensing signals such as electroencephalogram (EEG),
electrocardiogram (ECG), etc. have garnered interest towards applications in affective …

As we become more aware of the connection between emotional states and physical health,
affective computing continues to rise as a field of interest. Affective computing uses both …

Affective computing is one of the most important research fields in modern human–computer
interaction (HCI). The goal of affective computing is to study and develop the theories …

Affect detection is an important pattern recognition problem that has inspired researchers
from several areas. The field is in need of a systematic review due to the recent influx of …

Affective computing (AC) adopts a computational approach to study affect. We highlight the
AC approach towards automated affect measures that jointly model machine-readable …