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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| Formato: | Online |
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| Idioma: | inglês |
| Publicado em: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Acesso em linha: | ONIX_20221025_9783036553788_94 |
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| _version_ | 1869519822259224576 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-93241 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-932412024-03-31T13:08:31Z Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications Lucchiari, Claudio consumer behavior electroencephalogram (EEG) biosensor attention and meditation brain computer interface Brain-Computer Interface (BCI) Steady-State Visual Evoked Potential (SSVEP) artefact removal Individual Alpha Peak movement artefact Electroencephalography (EEG) classification emotion facial nerve paralysis LASSO MEG passive brain–computer interface (pBCI) EEG headsets daily life applications In-ear EEG echo state network (ESN) attention monitoring vigilance task brain-computer interface (BCI) electroencephalography (EEG) emotion recognition independent component analysis (ICA) regression stroke electroencephalogram (EEG) bispectrum multimodal fusion brain–computer interface (BCI) affective computing EEG-based emotion detection spiking neural network NeuCube thema EDItEUR::M Medicine and Nursing thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences 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. 2022-10-25T09:03:35Z 2022-10-25T09:03:35Z 2022 book ONIX_20221025_9783036553788_94 9783036553788 9783036553771 https://directory.doabooks.org/handle/20.500.12854/93241 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/6139 https://mdpi.com/books/pdfview/book/6139 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-5377-1 10.3390/books978-3-0365-5377-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036553788 9783036553771 178 open access |
| spellingShingle | consumer behavior electroencephalogram (EEG) biosensor attention and meditation brain computer interface Brain-Computer Interface (BCI) Steady-State Visual Evoked Potential (SSVEP) artefact removal Individual Alpha Peak movement artefact Electroencephalography (EEG) classification emotion facial nerve paralysis LASSO MEG passive brain–computer interface (pBCI) EEG headsets daily life applications In-ear EEG echo state network (ESN) attention monitoring vigilance task brain-computer interface (BCI) electroencephalography (EEG) emotion recognition independent component analysis (ICA) regression stroke electroencephalogram (EEG) bispectrum multimodal fusion brain–computer interface (BCI) affective computing EEG-based emotion detection spiking neural network NeuCube thema EDItEUR::M Medicine and Nursing thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications |
| title | Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications |
| title_full | Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications |
| title_fullStr | Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications |
| title_full_unstemmed | Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications |
| title_short | Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications |
| title_sort | brain computer interfaces and emotional involvement theory research and applications |
| topic | consumer behavior electroencephalogram (EEG) biosensor attention and meditation brain computer interface Brain-Computer Interface (BCI) Steady-State Visual Evoked Potential (SSVEP) artefact removal Individual Alpha Peak movement artefact Electroencephalography (EEG) classification emotion facial nerve paralysis LASSO MEG passive brain–computer interface (pBCI) EEG headsets daily life applications In-ear EEG echo state network (ESN) attention monitoring vigilance task brain-computer interface (BCI) electroencephalography (EEG) emotion recognition independent component analysis (ICA) regression stroke electroencephalogram (EEG) bispectrum multimodal fusion brain–computer interface (BCI) affective computing EEG-based emotion detection spiking neural network NeuCube thema EDItEUR::M Medicine and Nursing thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| topic_facet | consumer behavior electroencephalogram (EEG) biosensor attention and meditation brain computer interface Brain-Computer Interface (BCI) Steady-State Visual Evoked Potential (SSVEP) artefact removal Individual Alpha Peak movement artefact Electroencephalography (EEG) classification emotion facial nerve paralysis LASSO MEG passive brain–computer interface (pBCI) EEG headsets daily life applications In-ear EEG echo state network (ESN) attention monitoring vigilance task brain-computer interface (BCI) electroencephalography (EEG) emotion recognition independent component analysis (ICA) regression stroke electroencephalogram (EEG) bispectrum multimodal fusion brain–computer interface (BCI) affective computing EEG-based emotion detection spiking neural network NeuCube thema EDItEUR::M Medicine and Nursing thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| url | ONIX_20221025_9783036553788_94 |