Reprint

Brain-Computer Interfaces for Human Augmentation

Edited by
November 2019
128 pages
  • ISBN978-3-03921-906-3 (Paperback)
  • ISBN978-3-03921-907-0 (PDF)

This is a Reprint of the Special Issue Brain-Computer Interfaces for Human Augmentation that was published in

Biology & Life Sciences
Computer Science & Mathematics
Medicine & Pharmacology
Public Health & Healthcare
Summary

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.

Format
  • Paperback
License and Copyright
© 2020 by the authors; CC BY license
Keywords
Brain–Computer Interface (BCI); speller; Graphical User Interface (GUI); SSVEP; P300; MI; hybrid; human performance; performance prediction; indoor room temperature; office-work tasks; electroencephalography (EEG); brain computer interface; complete locked-in state; communication; Artificial Neural Network; 20-questions-game; augmented cognition; brain–computer interfaces; superintelligence; heuristic search; electroencephalography; brain-computer interfaces; waveform; p300; SIFT; PE; MP; SHCC; n/a