DOI: https://doi.org/10.15368/theses.2012.208
Available at: https://digitalcommons.calpoly.edu/theses/887
Date of Award
12-2012
Degree Name
MS in Computer Science
Department/Program
Computer Science
Advisor
Franz Kurfess
Abstract
Electroencephalography (EEG) was formerly confined to clinical and research settings with the necessary hardware costing thousands of dollars. In the last five years a number of companies have produced simple electroencephalograms, priced below $300 and available direct to consumers. These have stirred the imaginations of enthusiasts and brought the prospects of "thought-controlled" devices ever closer to reality. While these new devices were largely targeted at video games and toys, active research on enabling people suffering from debilitating diseases to control wheelchairs was being pursued. A number of neurochairs have come to fruition offering a truly hands-free mobility solution, but whether these results could be replicated with emerging low cost products, and thus become a viable option for more people is an open question. This thesis examines existing research in the field of EEG-based assistive technologies, puts current consumer-grade hardware to the test, and explores the possibility of a system designed from the ground up to be only a fraction of the cost of currently completed research prototypes.
Included in
Computational Neuroscience Commons, Computer and Systems Architecture Commons, Robotics Commons