Emotion plays a nuclear part in human attention, decision-making, and communication.
Electroencephalogram (EEG)-based emotion recognition has developed a lot due to the …

Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …

Emotion recognition from electroencephalography (EEG) signals is a very cost-effective
method to monitor the general well-being of an individual, an employee of an organization …

The objective of this paper is online recognition of human emotions based on
electroencephalogram (EEG) signals. The emotions are originated from the central and …

Emotion can be defined as a voluntary or involuntary reaction to external factors. People
express their emotions through actions, such as words, sounds, facial expressions, and …

In this research, emotional states in arousal/valence dimensions have been classified using
minimum number of channels and frequency bands of EEG signal. Using the discrete …

Emotion recognition from Electroencephalography (EEG) is proved to be a good choice as it
cannot be mimicked like speech signals or facial expressions. EEG signals of emotions are …

Many scientific studies have been concerned with building an automatic system to recognize
emotions, and building such systems usually relies on brain signals. These studies have …

Recently, electroencephalogram-based emotion recognition has become crucial in enabling
the Human-Computer Interaction (HCI) system to become more intelligent. Due to the …

To achieve a highly efficient brain-computer interface (BCI) system regarding emotion
recognition from electroencephalogram (EEG) signal, the most crucial issues are feature …