Gender carries significant information related to male and female characteristics. Gender
classification using physiological measurements are being studied vigorously. An …

Investigating gender differences based on emotional changes becomes essential to
understand various human behaviors in our daily life. Ten students from the University of …

The gender recognition is an important research field to study evidence regarding some
personal characteristics in the information and data society. However, some current …

Investigating gender differences based on emotional changes using electroencephalogram
(EEG) is essential to understand various human behavior in the individual situation in our …

Abstract Human-Computer Interaction (HCI) has witnessed rapid advancements in signal
processing research within the health domain, particularly in signal analyses like …

Investigating gender differences based on emotional changes supports automatic
interpretation of human intentions and preferences. This allows emotion applications to …

A novel feature extraction called discretization-based entropy is proposed for use in the
classification of EEG signals. To this end, EEG signals are decomposed into frequency …

Electroencephalography (EEG) is a measure which represents the functional activity of the
brain. We show that a detailed analysis of EEG measurements provides highly discriminant …

This paper proposes an emotion recognition system using EEG signals, therefore a new
approach to emotion state analysis by approximate (ApEn) and wavelet entropy (WE) is …

The motivation of this study was to perceive the gender variations by studying the emotional
states (ie angry, anxiety, disgust, happiness, sadness and surprise). Emotional …