Neurocomputing studies on consumer attitudes have recently made a significant
contribution to branding psychology. This study investigates consumer decisions for a …

The face recognition of familiar and unfamiliar people is an essential part of our daily lives.
However, its neural mechanism and relevant electroencephalography (EEG) features are …

This paper explores the data-driven properties of the empirical mode decomposition (EMD)
for detection of epileptic seizures. A new method in frequency domain is presented to …

Face perception essentially refers to an individual's ability to understand and interpret a
familiar face. This paper attempts to quantify the face perceptual ability of human subjects …

Electroencephalography (EEG) was studied as another method for detecting in addition to
existing polygraph tools, on the premise that EEG signals are more difficult to fool than …

In forensic criminology, technology such as sensors has a crucial role in helping reveal a
crime event. However, the sensor device for detecting honesty widely used today …

Face detection technology has been a hot topic in the past few decades. It has been
maturely applied to many practical areas. Therefore, introducing an outperforming model is …

Purpose: Selecting the proper electrodes to capture EEG signals is a critical issue that
affects overall classification accuracy. Using the pre-selected electrodes is impractical due to …

Recognizing people from their faces has a strong impact on social interaction. In this paper
we present a pilot study on healthy people where brain activities during a face recognition …

Automated-detecting intelligent programs and methods are developing to find out diseases
in medicine in recent years. Developing new methods and improving existing ones are …