Brain-Computer Interfaces for Human Augmentation

• Главный автор: Valeriani, Davide (auth)
• Другие авторы: Poli, Riccardo (auth), Cinel, Caterina (auth)
• Формат: Электронный ресурс Глава книги
• Язык: английский
• Опубликовано: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Предметы: Psychology; n/a; 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
• Online-ссылка: DOAB: download the publication; DOAB: description of the publication

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 a...