LEADER 03736nam 2200805z- 450 001 9910619472403321 005 20221025 010 $a3-0365-5377-0 035 $a(CKB)5670000000391550 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/93241 035 $a(oapen)doab93241 035 $a(EXLCZ)995670000000391550 100 $a20202210d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBrain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (178 p.) 311 08$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 and Nursing$2bicssc 606 $aNeurosciences$2bicssc 610 $aaffective computing 610 $aartefact removal 610 $aattention and meditation 610 $aattention monitoring 610 $abispectrum 610 $abrain computer interface 610 $abrain-computer interface (BCI) 610 $abrain-computer interface (BCI) 610 $aBrain-Computer Interface (BCI) 610 $aclassification 610 $aconsumer behavior 610 $adaily life applications 610 $aecho state network (ESN) 610 $aEEG headsets 610 $aEEG-based emotion detection 610 $aelectroencephalogram (EEG) 610 $aelectroencephalogram (EEG) biosensor 610 $aelectroencephalography (EEG) 610 $aElectroencephalography (EEG) 610 $aemotion 610 $aemotion recognition 610 $afacial nerve paralysis 610 $aIn-ear EEG 610 $aindependent component analysis (ICA) 610 $aIndividual Alpha Peak 610 $aLASSO 610 $aMEG 610 $amovement artefact 610 $amultimodal fusion 610 $aNeuCube 610 $apassive brain-computer interface (pBCI) 610 $aregression 610 $aspiking neural network 610 $aSteady-State Visual Evoked Potential (SSVEP) 610 $astroke 610 $avigilance task 615 7$aMedicine and Nursing 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