Electroencephalography (EEG) is a non-invasive technique used to record the brain's
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …

This review provides a contemporary, critical survey of the interdisciplinary methods used in
research with computer-based learning environments (CBLEs) to measure learners' …

Ongoing brain activity can be recorded as electroen-cephalograph (EEG) to discover the
links between emotional states and brain activity. This study applied machine-learning …

As the number of textual data is exponentially increasing, it becomes more important to
develop models to analyze the text data automatically. The texts may contain various labels …

Emotions play an important role at our day-to-day activities such as cognitive process,
communication and decision making. It is also very essential for interaction between human …

Taking photos by mobile phones has become an indispensable part of people's daily life
with the popularity of smartphones. However professional photography content is also …

In this paper, we present human emotion assessment using electroencephalogram (EEG)
signals. The combination of surface Laplacian (SL) filtering, time-frequency analysis of …

The effort to integrate emotions into human-computer interaction (HCI) system has attracted
broad attentions. Automatic emotion recognition enables the HCI to become more intelligent …

Emotion plays an important role in our daily lives. Ever since the 19th century, experimental
psychologists have attempted to understand and explain human emotion. Despite an …

This paper aims to proposed emotion recognition using electroencephalography (EEG)
techniques. Recognizing emotion by using computers is becoming popular these days. This …