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.