Brain–computer interface: trend, challenges, and threats
Abstract Brain–computer interface (BCI), an emerging technology that facilitates
communication between brain and computer, has attracted a great deal of research in recent …
communication between brain and computer, has attracted a great deal of research in recent …
Systematic review and future direction of neuro-tourism research
A Al-Nafjan, M Aldayel, A Kharrat - Brain Sciences, 2023 - mdpi.com
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 …
the tourism industry by analyzing the brain activities of tourists. Neuro-tourism provides …
Subject-Wise Cognitive Load Detection Using Time–Frequency EEG and Bi-LSTM
Cognitive load detection using electroencephalogram (EEG) signals is a technique
employed to understand and measure the mental workload or cognitive demands placed on …
employed to understand and measure the mental workload or cognitive demands placed on …
[HTML][HTML] Neuromarketing: entre la emoción y la razón
En este artículo de revisión se abordan los diferentes conceptos y teorías que se
encuentran en torno al neuromarketing como un complemento a las estrategias del …
encuentran en torno al neuromarketing como un complemento a las estrategias del …
Predicting Choices Driven by Emotional Stimuli Using EEG-Based Analysis and Deep Learning
M Aldayel, A Kharrat, A Al-Nafjan - Applied Sciences, 2023 - mdpi.com
Individual choices and preferences are important factors that impact decision making.
Artificial intelligence can predict decisions by objectively detecting individual choices and …
Artificial intelligence can predict decisions by objectively detecting individual choices and …
Self-reported and electroencephalogram responses to evaluate sponsorship congruence efficacy.
Abstract Information for measuring the performance of a commercial action is essential for
any organization. Sponsorship actions have increased significantly in the last few decades …
any organization. Sponsorship actions have increased significantly in the last few decades …
Systematic Review of Brain-Computer Interface based User Authentication System: Trends, challenges, and Directions
The authentication process plays a crucial role in ensuring accurate and high-level security
in various applications, particularly in the face of emerging technologies and the growing …
in various applications, particularly in the face of emerging technologies and the growing …
A systematic review on EEG-based neuromarketing: recent trends and analyzing techniques
Neuromarketing is an emerging research field that aims to understand consumers' decision-
making processes when choosing which product to buy. This information is highly sought …
making processes when choosing which product to buy. This information is highly sought …
Preference detection of the humanoid robot face based on EEG and eye movement
P Wang, W Mu, G Zhan, A Wang, Z Song… - Neural Computing and …, 2024 - Springer
The face of a humanoid robot can affect the user experience, and the detection of face
preference is particularly important. Preference detection belongs to a branch of emotion …
preference is particularly important. Preference detection belongs to a branch of emotion …
Is Mate Preference Recognizable Based on Electroencephalogram Signals? Machine Learning Applied to Initial Romantic Attraction
G Yuan, W He, G Liu - Frontiers in Neuroscience, 2022 - frontiersin.org
Initial romantic attraction (IRA) refers to a series of positive reactions toward potential ideal
partners based on individual preferences; its evolutionary value lies in facilitating mate …
partners based on individual preferences; its evolutionary value lies in facilitating mate …