Handwriting and signature biometrics have a long history in the literature, especially in terms
of identity recognition and/or verification; nevertheless, it reveals more information therefore …

The article presents our proposed adaptation of the commercially available Emotiv EPOC+
EEG headset for neuroscience research based on event-related brain potentials (ERP). It …

With the development of the mobile phone industry, mobile applications market becomes
thriving. However, the immature information technology and unfriendly interface bring …

Abstract Information systems are becoming increasingly intelligent and emotion artificial
intelligence is an important component for the future. Therefore, the measurement and …

Electroencephalography (EEG) provides the temporal resolution required to map the neural
activations for studying motor movements and control. This study aims to compare the power …

This paper proposes a neural network to identify pleasant and unpleasant emotions from
recorded electroencephalography (EEG) signals, towards the construction of a method to …

The objective of this paper is to measure objective quantitative aspects of game user
experience and examine whether the identification with the character influences game …

Представлен краткий анализ существующих подходов к использованию возможностей
мониторинга цифрового следа пользователя в электронной образовательной среде …

The brain is still the least understood organ in the human body. It is a biological network of
around 86 billion neurons [1], these nerve cells are the source of electrical activity that is a …

Emotional impressions that a product create in the consumers are crucial in deciding
whether this product can be purchased and used or not. Therefore, emotional user …