Brain-Computer Interfaces for Human Augmentation
Valeriani, Davide
Brain-Computer Interfaces for Human Augmentation - MDPI - Multidisciplinary Digital Publishing Institute 2019 - 1 electronic resource (128 p.)
Open Access
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.
Creative Commons
English
books978-3-03921-907-0 9783039219063 9783039219070
10.3390/books978-3-03921-907-0 doi
n/a SIFT brain-computer interfaces P300 brain-computer interfaces 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
Brain-Computer Interfaces for Human Augmentation - MDPI - Multidisciplinary Digital Publishing Institute 2019 - 1 electronic resource (128 p.)
Open Access
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.
Creative Commons
English
books978-3-03921-907-0 9783039219063 9783039219070
10.3390/books978-3-03921-907-0 doi
n/a SIFT brain-computer interfaces P300 brain-computer interfaces 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