Recent developments and studies in brain-computer interface (BCI) technologies have
facilitated emotion detection and classification. Many BCI studies have sought to investigate, …

Recent studies have shown that children with autism may be interested in playing with an
interactive robot. Moreover, the robot can engage these children in ways that demonstrate …

Neuro-tourism is the application of neuroscience in tourism to improve marketing methods
of the tourism industry by analyzing the brain activities of tourists. Neuro-tourism provides …

Brain–computer interface (BCI) technology uses electrophysiological (EEG) signals to detect
user intent. Research on BCI has seen rapid advancement, with researchers proposing and …

Featured Application This article presents an application of deep learning in preference
detection performed using EEG-based BCI. Abstract The traditional marketing methodologies (eg…

Estimation of human emotions from Electroencephalogram (EEG) signals plays a vital role in
developing robust Brain-Computer Interface (BCI) systems. In our research, we used Deep …

Children with autism face a range of challenges when it comes to verbal and nonverbal
communication. It is essential that children participate in a variety of social, educational, and …

In education, it is critical to monitor students’ attention and measure the extents to which
students participate and the differences in their levels and abilities. The overall goal of this study …

The success of touristic businesses, attractions, and destinations heavily relies on travel agents’
recommendations, which significantly impact client satisfaction. However, the underlying …

Neuromarketing has gained attention to bridge the gap between conventional marketing
studies and electroencephalography (EEG)-based brain-computer interface (BCI) research. It …