Automatic electroencephalogram (EEG) emotion recognition is a challenging component of
human–computer interaction (HCI). Inspired by the powerful feature learning ability of …

Emotion recognition has become a very controversial issue in brain-computer interfaces
(BCIs). Moreover, numerous studies have been conducted in order to recognize emotions …

Exploration on emotions continues from past to present. Nowadays, with the rapid
advancement of intelligent technology, computer-aided emotion recognition using …

Introduction One of the most important steps in combating breast cancer is early and
accurate diagnosis. Unfortunately, breast cancer is asymptomatic at the early stage …

ElectroEncephaloGraphy signals have been studied in relation to emotion even prior to the
establishment of Affective Computing as a research area. Technological advancements in …

People with chronic musculoskeletal pain would benefit from technology that provides run-
time personalized feedback and help adjust their physical exercise plan. However …

Arousal recognition from physiological signals is a task with many challenge remaining,
especially when performed in several different domains. However, the need for emotional …

In machine learning, the collection of the training data for the inference algorithms is a step
of utmost importance because it constitutes the basis for building a classification model …

Computer Science department, Baniwalid University, Baniwalid, Libya, kf. aljribi@ gmail.
com Emotion recognition from brain signals has been interesting research area in computer …

Wearable computing systems have spurred many opportunities to continuously monitor
human bodies with sensors worn on or implanted in the body. These emerging platforms …