Eye tracking algorithms, techniques, tools, and applications with an emphasis on machine learning and Internet of Things technologies
AF Klaib, NO Alsrehin, WY Melhem… - Expert Systems with …, 2021 - Elsevier
Eye tracking is the process of measuring where one is looking (point of gaze) or the motion
of an eye relative to the head. Researchers have developed different algorithms and …
of an eye relative to the head. Researchers have developed different algorithms and …
[HTML][HTML] Electroencephalography (EEG) technology applications and available devices
M Soufineyestani, D Dowling, A Khan - Applied Sciences, 2020 - mdpi.com
The electroencephalography (EEG) sensor has become a prominent sensor in the study of
brain activity. Its applications extend from research studies to medical applications. This …
brain activity. Its applications extend from research studies to medical applications. This …
[图书][B] Best-worst scaling: Theory, methods and applications
Best-worst scaling (BWS) is an extension of the method of paired comparison to multiple
choices that asks participants to choose both the most and the least attractive options or …
choices that asks participants to choose both the most and the least attractive options or …
Consumer behaviour through the eyes of neurophysiological measures: State‐of‐the‐art and future trends
P Cherubino, AC Martinez-Levy… - Computational …, 2019 - Wiley Online Library
The new technological advances achieved during the last decade allowed the scientific
community to investigate and employ neurophysiological measures not only for research …
community to investigate and employ neurophysiological measures not only for research …
[HTML][HTML] Technological advancements and opportunities in Neuromarketing: a systematic review
FS Rawnaque, KM Rahman, SF Anwar… - Brain Informatics, 2020 - Springer
Neuromarketing has become an academic and commercial area of interest, as the
advancements in neural recording techniques and interpreting algorithms have made it an …
advancements in neural recording techniques and interpreting algorithms have made it an …
[HTML][HTML] Deep learning for EEG-based preference classification in neuromarketing
Featured Application This article presents an application of deep learning in preference
detection performed using EEG-based BCI. Abstract The traditional marketing …
detection performed using EEG-based BCI. Abstract The traditional marketing …
Neuromarketing: Marketing research in the new millennium
Neuromarketing (NM) uses neuroscience tools, for example, but not limited to functional
magnetic resonance imaging (fMRI) and electroencephalography (EEG) to study, explore …
magnetic resonance imaging (fMRI) and electroencephalography (EEG) to study, explore …
Analysis of EEG signals and its application to neuromarketing
Marketing and promotions of various consumer products through advertisement campaign is
a well known practice to increase the sales and awareness amongst the consumers. This …
a well known practice to increase the sales and awareness amongst the consumers. This …
Neuromarketing research in the last five years: A bibliometric analysis
Neuromarketing (NM) is an application of neuroimaging and physiological tools to record
the neural correlates of consumers' behaviour (eg, decision-making, emotion, attention, and …
the neural correlates of consumers' behaviour (eg, decision-making, emotion, attention, and …
[HTML][HTML] Neuromarketing: Its current status and research perspectives
P Duque-Hurtado, V Samboni-Rodriguez… - Estudios …, 2020 - scielo.org.co
This document aims to conduct a literature review in order to identify evolution and research
trends in the area of neuromarketing. To achieve this objective, a science mapping …
trends in the area of neuromarketing. To achieve this objective, a science mapping …