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The purpose of this research is to develop a frictional coefficient measurement unit to measure the frictional coefficient of the human ocular surface and to develop a computational program using a genetic algorithm to create empirical formula. The measurement unit, which measures the normal force, the frictional force, and the velocity of the probe simultaneously, was initially developed. Then measurements of the friction at the ocular surface of a normal adult male were carried out. A computational program combining a genetic algorithm and the least-squares method was subsequently developed in order to process the experimental data. Finally, an empirical formula for the frictional coefficient of the normal adult male was created using the developed program. The authors have succeeded in measuring the frictional coefficient of the human ocular surface for the first time ever reported.

proceedings of the world congress on electrical engineering and computer systems and science

Development of a Physical Apparatus and Computational Program Employing a Genetic Algorithm and Least-Squares Method for Measuring the Frictional Coefficient of the Human Ocular Surface