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Electronic Resource

Brain-Computer Interfaces for Human Augmentation

Valeriani, Davide - Personal Name; Poli, Riccardo - Personal Name; Cinel, Caterina - Personal Name;

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.


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Detail Information
Series Title
-
Call Number
-
Publisher
: MDPI - Multidisciplinary Digital Publishing Institute., 2019
Collation
128 hlm., lamp.
Language
English
ISBN/ISSN
9783039219070
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Psychology
Specific Detail Info
-
Statement of Responsibility
Universitas Jember
Other Information
Cataloger
ida
Source
https://directory.doabooks.org/handle/20.500.12854/42422
Validator
-
Digital Object Identifier (DOI)
10.3390/books978-3-03921-907-0
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
-
Other version/related

No other version available

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  • Brain-Computer Interfaces for Human Augmentation
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