Fuzzy Logic Based Eye-Brain Controlled Web Access System


  •  Suvir Mirchandani    

Abstract

Accessing the Web is crucially important in today’s society because of communication, education, and entertainment opportunities.  Paralyzed or paretic individuals are unable to capitalize on these opportunities using traditional human-computer interaction methods.  Thus, I develop a low-cost web browsing system for such individuals, integrating eye and brain control in a novel fashion to relay and interpret navigation commands.  The system combines gaze position estimates obtained from a new image processing algorithm with brain concentration levels sensed and transmitted by an electroencephalogram headset.  Since user intent may itself be uncertain, the system incorporates a novel fuzzy logic algorithm for combining brainwave and eye position inputs to determine the user’s targeted hyperlink.  The algorithm adopts an approach based on exponential smoothing to efficiently keep a record of historical signals.  Experimental evaluation established that the first attempt success rate of the system lies between 87% and 95% with 95% confidence.  Error recovery accuracy is 98.4%, resulting in a second attempt success rate of 99.1%.  This assistive technology, using off-the-shelf components, costs less than $100 excluding the tablet computer, and has the potential to affordably open up the Web to millions of individuals.



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