Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …

Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …

Facial Expression Recognition (FER) can be widely applied to various research areas, such
as mental diseases diagnosis and human social/physiological interaction detection. With the …

Vehicular ad-hoc network (VANET) is highly dynamic due to the high speed and sparse
distribution of vehicles on the road. This creates major challenges (eg, network …

Recognition of emotions from physiological signals, and in particular from
electroencephalography (EEG), is a field within affective computing gaining increasing …

Understanding animal emotions is a key to unlocking methods for improving animal welfare.
Currently there are no 'benchmarks' or any scientific assessments available for measuring …

Nowadays, emotion recognition using electroencephalogram (EEG) signals is becoming a
hot research topic. The aim of this paper is to classify emotions of EEG signals using a novel …

Neuromarketing has brought a revolution in the field of marketing. The adoption of
Neuromarketing has resulted in better understanding of consumer behaviour. The thrust for …

Nowadays, humanity is facing one of the most dangerous pandemics known as COVID-19.
Due to its high inter-person contagiousness, COVID-19 is rapidly spreading across the …

Contemporary education is a vast field that is concerned with the performance of education
systems. In a formal e-learning context, student dropout is considered one of the main …