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Titolo: | Brain-computer interfaces for human augmentation / / special issue editors, Riccardo Poli, Davide Valeriani, Caterina Cinel |
Pubblicazione: | 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 | |
Persona (resp. second.): | CinelCaterina |
PoliRiccardo <1961-> | |
ValerianiDavide | |
Sommario/riassunto: | The field of Brain–Computer Interfaces (BCIs) has grown rapidly in the last few decades, allowing the development of faster and more reliable assistive technologies based on direct links between the brain and an external device. Novel applications of BCIs have also been proposed, especially in the area of human augmentation, i.e., enabling people to go beyond human limitations in sensory, cognitive and motor tasks. Brain-imaging techniques, such as electroencephalography, have been used to extract neural correlates of various brain processes and transform them, via machine learning, into commands for external devices. Brain stimulation technology has allowed to trigger the activation of specific brain areas to enhance the cognitive processes associated to the task at hand, hence improving performance. BCIs have therefore extended their scope from assistive technologies for people with disabilities to neuro-tools for human enhancement. This Special Issue aims at showing the recent advances in BCIs for human augmentation, highlighting new results on both traditional and novel applications. These include, but are not limited to, control of external devices, communication, cognitive enhancement, decision making and entertainment. |
Titolo autorizzato: | Brain-Computer Interfaces for Human Augmentation |
ISBN: | 3-03921-907-3 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910674032503321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |