Affecting computing is an artificial intelligence area of study that recognizes, interprets,
processes, and simulates human affects. The user's emotional states can be sensed through …

As a subjectively psychological and physiological response to external stimuli, emotion is
ubiquitous in our daily life. With the continuous development of the artificial intelligence and …

Recently, electroencephalography (EEG) signals have shown great potential for emotion
recognition. Nevertheless, multichannel EEG recordings lead to redundant data …

The market uptake of Brain-Computer Interface technologies for clinical and non-clinical
applications is attracting the scientific world towards the development of daily-life wearable …

An important function of the construction of the Brain-Computer Interface (BCI) device is the
development of a model that is able to recognize emotions from electroencephalogram …

This work proposes an emotion recognition technique by distinguishing appropriate
electroencephalogram (EEG) segments from acquired signal for target emotions. Generally …

In EEG-based emotion recognition, subject's affective responses are captured by several
channels (scalp level) by presenting target stimuli. However, the emotional responses are …

Electroencephalogram (EEG) signals in recognizing emotions have several advantages.
Still, the success of this study, however, is strongly influenced by: i) the distribution of the …

Affect decoding through brain-computer interfacing (BCI) holds great potential to capture
users' feelings and emotional responses via non-invasive electroencephalogram (EEG) …

Electroencephalography is a technique, which allows to capture brain activity. Devices BCI
(Brain-Computer Interface) are being used to evaluate the UX (User eXperience). We …