LEADER 03955namaa2200841uu 4500
001 doab93241
003 oapen
005 20221025
006 m o d
007 cr|mn|---annan
008 221025s2022 xx |||||o ||| 0|eng d
020 |a 9783036553771 
020 |a 9783036553788 
020 |a books978-3-0365-5377-1 
024 7 |a 10.3390/books978-3-0365-5377-1  |2 doi 
040 |a oapen  |c oapen 
041 0 |a eng 
042 |a dc 
072 7 |a M  |2 bicssc 
072 7 |a PSAN  |2 bicssc 
720 1 |a Lucchiari, Claudio  |4 edt 
720 1 |a Lucchiari, Claudio  |4 oth 
245 0 0 |a Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications 
260 |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2022 
300 |a 1 online resource (178 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
506 0 |a Open Access  |f Unrestricted online access  |2 star 
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. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |u https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
650 7 |a Medicine and Nursing  |2 bicssc 
650 7 |a Neurosciences  |2 bicssc 
653 |a affective computing 
653 |a artefact removal 
653 |a attention and meditation 
653 |a attention monitoring 
653 |a bispectrum 
653 |a brain computer interface 
653 |a brain-computer interface (BCI) 
653 |a brain-computer interface (BCI) 
653 |a Brain-Computer Interface (BCI) 
653 |a classification 
653 |a consumer behavior 
653 |a daily life applications 
653 |a echo state network (ESN) 
653 |a EEG headsets 
653 |a EEG-based emotion detection 
653 |a electroencephalogram (EEG) 
653 |a electroencephalogram (EEG) biosensor 
653 |a electroencephalography (EEG) 
653 |a Electroencephalography (EEG) 
653 |a emotion 
653 |a emotion recognition 
653 |a facial nerve paralysis 
653 |a In-ear EEG 
653 |a independent component analysis (ICA) 
653 |a Individual Alpha Peak 
653 |a LASSO 
653 |a MEG 
653 |a movement artefact 
653 |a multimodal fusion 
653 |a NeuCube 
653 |a passive brain-computer interface (pBCI) 
653 |a regression 
653 |a spiking neural network 
653 |a Steady-State Visual Evoked Potential (SSVEP) 
653 |a stroke 
653 |a vigilance task 
793 0 |a DOAB Library. 
856 4 0 |u https://directory.doabooks.org/handle/20.500.12854/93241  |7 0  |z Open Access: DOAB: description of the publication 
856 4 0 |u https://mdpi.com/books/pdfview/book/6139  |7 0  |z Open Access: DOAB, download the publication