Brain-computer interfacing for assistive robotics: electroencephalograms, recurrent quantum neural networks and user-centric graphical user interfaces
Book
Gandhi, V. 2014. Brain-computer interfacing for assistive robotics: electroencephalograms, recurrent quantum neural networks and user-centric graphical user interfaces. Elsevier.
Title | Brain-computer interfacing for assistive robotics: electroencephalograms, recurrent quantum neural networks and user-centric graphical user interfaces |
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Authors | Gandhi, V. |
Abstract | Brain-computer interface (BCI) technology provides a means of communication that allows individuals with severely impaired movement to communicate with assistive devices using the electroencephalogram (EEG) or other brain signals. The practicality of a BCI has been possible due to advances in cognitive neuroscience, brain-imaging, and human-computer interfaces. Two major challenges remain in making BCI for assistive robotics practical for day-to-day use: the inherent lower bandwidth, and how to best handle unknown embedded noise within the raw EEG. |
Keywords | Brain-Computer Interface, Assistive Robotics, Quantum Neural Network, EEG, Signal Processing |
Edition | 1st |
Publisher | Elsevier |
Publication process dates | |
Deposited | 28 May 2015 |
Completed | 30 Sep 2014 |
Output status | Published |
Copyright Statement | Access to full text restricted pending copyright check. |
Web address (URL) | http://store.elsevier.com/product.jsp?isbn=9780128015438&pagename=search |
Language | English |
File | File Access Level Restricted |
https://repository.mdx.ac.uk/item/856y3
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