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Brain-Computer Interfacing for Assistive Robotics - Electroencephalograms, Recurrent Quantum Neural Networks, and User-Centric Graphical Interfaces (Paperback)
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Brain-Computer Interfacing for Assistive Robotics - Electroencephalograms, Recurrent Quantum Neural Networks, and User-Centric Graphical Interfaces (Paperback)
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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.
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