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010   $a3-0365-5377-0
035   $a(CKB)5670000000391550
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/93241
035   $a(EXLCZ)995670000000391550
100   $a20202210d2022      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aBrain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications
210   $cMDPI - Multidisciplinary Digital Publishing Institute$d2022
215   $a1 electronic resource (178 p.)
311   $a3-0365-5378-9 
330   $aThis 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.
517   $aBrain Computer Interfaces and Emotional Involvement
606   $aMedicine$2bicssc
606   $aNeurosciences$2bicssc
610   $aconsumer behavior
610   $aelectroencephalogram (EEG) biosensor
610   $aattention and meditation
610   $abrain computer interface
610   $aBrain-Computer Interface (BCI)
610   $aSteady-State Visual Evoked Potential (SSVEP)
610   $aartefact removal
610   $aIndividual Alpha Peak
610   $amovement artefact
610   $aElectroencephalography (EEG)
610   $aclassification
610   $aemotion
610   $afacial nerve paralysis
610   $aLASSO
610   $aMEG
610   $apassive brain?computer interface (pBCI)
610   $aEEG headsets
610   $adaily life applications
610   $aIn-ear EEG
610   $aecho state network (ESN)
610   $aattention monitoring
610   $avigilance task
610   $abrain-computer interface (BCI)
610   $aelectroencephalography (EEG)
610   $aemotion recognition
610   $aindependent component analysis (ICA)
610   $aregression
610   $astroke
610   $aelectroencephalogram (EEG)
610   $abispectrum
610   $amultimodal fusion
610   $abrain?computer interface (BCI)
610   $aaffective computing
610   $aEEG-based emotion detection
610   $aspiking neural network
610   $aNeuCube
615  7$aMedicine
615  7$aNeurosciences
700   $aLucchiari$b Claudio$4edt$01323096
702   $aLucchiari$b Claudio$4oth
906   $aBOOK
912   $a9910619472403321
996   $aBrain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications$93035379
997   $aUNINA