Emotion recognition from EEG signals is a major field of research in cognitive computing.
The major challenges involved in the task are extracting meaningful features from the …

Positive and Negative emotions are experienced by the majority of individuals in their day-to-
day life. It is important to control access of negative emotions because it may lead to several …

Electroencephalogram (EEG)-based emotion recognition has become a hot research field,
with the most attention given to decoding three basic types of emotional states (ie, positive …

Aiming at solving the matter of low accuracy of emotion identification way in traditional facial
expression images, this paper presents a new way of multi-modal emotion identification …

A millimeter-wave (mmW) classifier system applied to images synthesized from a coded-
aperture based computational imaging (CI) radar is presented. A developed physical model …

Humans can portray different expressions contrary to their emotional state of mind.
Therefore, it is difficult to judge humans' real emotional state simply by judging their physical …

Affective computing research related to EEG-based emotion recognition has become a
current research trend. This research becomes very interesting because the EEG signal is …

Emotion is an important factor that decides the the state of the mind of an individual.
However, there are many people who cannot express their emotions explicitly due to various …

Emotion recognition based on the multi-channel electroencephalograph (EEG) is becoming
increasingly attractive. However, the lack of large datasets and privacy concerns lead to …

Recently, emotion recognition began to be implemented in the industry and human resource
field. In the time we can perceive the emotional state of the employee, the employer could …