[HTML][HTML] EEG-based BCI emotion recognition: A survey

EP Torres, EA Torres, M Hernández-Álvarez, SG Yoo - Sensors, 2020 - mdpi.com
Affecting computing is an artificial intelligence area of study that recognizes, interprets,
processes, and simulates human affects. The user's emotional states can be sensed through …

Consumer grade EEG measuring sensors as research tools: A review

P Sawangjai, S Hompoonsup… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Since the launch of the first consumer grade EEG measuring sensorsNeuroSky Mindset'in
2007, the market has witnessed an introduction of at least one new product every year by …

[CARTE][B] Brain–computer interfaces handbook: technological and theoretical advances

CS Nam, A Nijholt, F Lotte - 2018 - books.google.com
Brain–Computer Interfaces Handbook: Technological and Theoretical Advances provides a
tutorial and an overview of the rich and multi-faceted world of Brain–Computer Interfaces …

EEG signal analysis for BCI interface: A review

S Vaid, P Singh, C Kaur - 2015 fifth international conference on …, 2015 - ieeexplore.ieee.org
Brain Computer Interface (BCI) systems are the devices which are proposed to help the
disabled, people who are incapable of making motor response to communicate with …

A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges

C Mühl, B Allison, A Nijholt, G Chanel - Brain-Computer Interfaces, 2014 - Taylor & Francis
Affective states, moods and emotions, are an integral part of human nature: they shape our
thoughts, govern the behavior of the individual, and influence our interpersonal …

Memory detection with the C oncealed I nformation T est: A meta analysis of skin conductance, respiration, heart rate, and P300 data

EH Meijer, NK Selle, L Elber… - Psychophysiology, 2014 - Wiley Online Library
The C oncealed I nformation T est (CIT) uses psychophysiological measures to determine
the presence or absence of crime‐related information in a suspect's memory. We conducted …

Classification of EEG data for human mental state analysis using Random Forest Classifier

DR Edla, K Mangalorekar, G Dhavalikar… - Procedia computer …, 2018 - Elsevier
Brain computer interface (BCI), has been one of the most popular domains in computing in
the recent years. BCI is a pathway which allows communication between computers and the …

LieNet: a deep convolution neural network framework for detecting deception

M Karnati, A Seal, A Yazidi… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Nowadays, automatic deception detection has received considerable attention in the
machine learning community owing to this research interest to its vast applications in the …

A novel EOG/EEG hybrid human–machine interface adopting eye movements and ERPs: Application to robot control

J Ma, Y Zhang, A Cichocki… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
This study presents a novel human-machine interface (HMI) based on both
electrooculography (EOG) and electroencephalography (EEG). This hybrid interface works …

On the feasibility of {Side-Channel} attacks with {Brain-Computer} interfaces

I Martinovic, D Davies, M Frank, D Perito… - 21st USENIX Security …, 2012 - usenix.org
Brain computer interfaces (BCI) are becoming increasingly popular in the gaming and
entertainment industries. Consumer-grade BCI devices are available for a few hundred …