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[HTML][HTML] EEG-based BCI emotion recognition: A survey
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 …
processes, and simulates human affects. The user's emotional states can be sensed through …
Consumer grade EEG measuring sensors as research tools: A review
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 …
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
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 …
tutorial and an overview of the rich and multi-faceted world of Brain–Computer Interfaces …
EEG signal analysis for BCI interface: A review
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 …
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
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 …
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
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 …
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 …
the recent years. BCI is a pathway which allows communication between computers and the …
LieNet: a deep convolution neural network framework for detecting deception
Nowadays, automatic deception detection has received considerable attention in the
machine learning community owing to this research interest to its vast applications 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
This study presents a novel human-machine interface (HMI) based on both
electrooculography (EOG) and electroencephalography (EEG). This hybrid interface works …
electrooculography (EOG) and electroencephalography (EEG). This hybrid interface works …
On the feasibility of {Side-Channel} attacks with {Brain-Computer} interfaces
Brain computer interfaces (BCI) are becoming increasingly popular in the gaming and
entertainment industries. Consumer-grade BCI devices are available for a few hundred …
entertainment industries. Consumer-grade BCI devices are available for a few hundred …