Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications

This reprint is dedicated to the study of brain activity related to emotional and attentional involvement as measured by Brain-computer interface (BCI) systems designed for different purposes. A BCI system can translate brain signals (e.g., electric or hemodynamic brain activity indicators) into a c...

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Bibliographic Details
Other Authors: Lucchiari, Claudio (Editor)
Format: Electronic Book Chapter
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2022
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Online Access:DOAB: download the publication
DOAB: description of the publication
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520 |a This reprint is dedicated to the study of brain activity related to emotional and attentional involvement as measured by Brain-computer interface (BCI) systems designed for different purposes. A BCI system can translate brain signals (e.g., electric or hemodynamic brain activity indicators) into a command to execute an action in the BCI application (e.g., a wheelchair, the cursor on the screen, a spelling device or a game). These tools have the advantage of having real-time access to the ongoing brain activity of the individual, which can provide insight into the user's emotional and attentional states by training a classification algorithm to recognize mental states. The success of BCI systems in contemporary neuroscientific research relies on the fact that they allow one to "think outside the lab". The integration of technological solutions, artificial intelligence and cognitive science allowed and will allow researchers to envision more and more applications for the future. The clinical and everyday uses are described with the aim to invite readers to open their minds to imagine potential further developments. 
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653 |a consumer behavior 
653 |a electroencephalogram (EEG) biosensor 
653 |a attention and meditation 
653 |a brain computer interface 
653 |a Brain-Computer Interface (BCI) 
653 |a Steady-State Visual Evoked Potential (SSVEP) 
653 |a artefact removal 
653 |a Individual Alpha Peak 
653 |a movement artefact 
653 |a Electroencephalography (EEG) 
653 |a classification 
653 |a emotion 
653 |a facial nerve paralysis 
653 |a LASSO 
653 |a MEG 
653 |a passive brain-computer interface (pBCI) 
653 |a EEG headsets 
653 |a daily life applications 
653 |a In-ear EEG 
653 |a echo state network (ESN) 
653 |a attention monitoring 
653 |a vigilance task 
653 |a brain-computer interface (BCI) 
653 |a electroencephalography (EEG) 
653 |a emotion recognition 
653 |a independent component analysis (ICA) 
653 |a regression 
653 |a stroke 
653 |a electroencephalogram (EEG) 
653 |a bispectrum 
653 |a multimodal fusion 
653 |a brain-computer interface (BCI) 
653 |a affective computing 
653 |a EEG-based emotion detection 
653 |a spiking neural network 
653 |a NeuCube 
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