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Brain-Computer Interfacing for Assistive Robotics
Electroencephalograms, Recurrent Quantum Neural Networks, and User-Centric Graphical Interfaces
A comprehensive exploration of the practicality and challenges of the use of brain-computer interfacing in assistive robotic technologies for impaired movement.
Vaibhav Gandhi (Author)
9780128015438, Elsevier Science
Paperback, published 30 September 2014
258 pages
22.9 x 15.1 x 1.7 cm, 0.43 kg
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 multi-disciplinary areas of research related to cognitive neuroscience, brain-imaging techniques and human-computer interfaces. However, two major challenges remain in making BCI for assistive robotics practical for day-to-day use: the inherent lower bandwidth of BCI, and how to best handle the unknown embedded noise within the raw EEG. Brain-Computer Interfacing for Assistive Robotics is a result of research focusing on these important aspects of BCI for real-time assistive robotic application. It details the fundamental issues related to non-stationary EEG signal processing (filtering) and the need of an alternative approach for the same. Additionally, the book also discusses techniques for overcoming lower bandwidth of BCIs by designing novel use-centric graphical user interfaces. A detailed investigation into both these approaches is discussed.
Part 1: Introduction Part 2: Interfacing Brain and MachinePart 3: Fundamentals of Recurrent Quantum Neural Network Part 4: The Proposed GUIPart 5: RQNN Based EEG EnhancementPart 6: GUI and Robot Operation Part 7: Conclusion
Subject Areas: Human-computer interaction [UYZ], Robotics [TJFM1], Neurology & clinical neurophysiology [MJN]
