Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications |
Autore | Lucchiari Claudio |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (178 p.) |
Soggetto topico |
Medicine
Neurosciences |
Soggetto non controllato |
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 |
ISBN | 3-0365-5377-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Brain Computer Interfaces and Emotional Involvement |
Record Nr. | UNINA-9910619472403321 |
Lucchiari Claudio | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Brain-computer interfaces for human augmentation / / special issue editors, Riccardo Poli, Davide Valeriani, Caterina Cinel |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (128 p.) |
Disciplina | 612.80285 |
Soggetto topico |
Neuroergonomics
Brain-computer interfaces Self-help devices for people with disabilities |
Soggetto non controllato |
SIFT
brain-computer interfaces P300 complete locked-in state Brain-Computer Interface (BCI) electroencephalography (EEG) SHCC speller SSVEP human performance superintelligence MI communication electroencephalography 20-questions-game MP indoor room temperature office-work tasks augmented cognition heuristic search performance prediction p300 Graphical User Interface (GUI) hybrid Artificial Neural Network PE brain computer interface waveform |
ISBN | 3-03921-907-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910674032503321 |
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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