Date of Award

Spring 2000

Document Type

Thesis

Degree Name

Master of Science in Computer Engineering - (M.S.)

Department

Electrical and Computer Engineering

First Advisor

Raashid Ahmed Malik

Second Advisor

Yun Q. Shi

Third Advisor

Frank Y. Shih

Abstract

It would be of value to create another device for interfacing with a computer besides the commonly used handheld devices; one option is to determine where the user is looking on the screen. The major obstacle to overcome in this task is to be able to reliably track the motion of the iris and pupil in the eye. A method to do this is revealed here, using a variation of the Rough transform to detect circular patterns in a close shot of the eye. The algorithm was developed in Matlab and analyzed over a series of 20 sets of 6 frames each; this analysis reveals that it is capable of producing 88.33 percent accuracy under normal conditions. The other obstacles to be overcome are also specified, and possible solutions outlined, with suggestions as to hardware implementation and applications for the handicapped and for a convenient hands-free interface method.

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