MODELING OF LAUGHING MIMIC CAUGHT WITH MOTION CAPTURE TECHNOLOGY USING FUZZY LOGIC

Abstract

This article explains the requirement of modeling using fuzzy logic and creates a blurred inference
model so that the most realistic result can be reached when transferring a smile to a digital world.
This allows for the most accurate representation of the smile to be generated. The term "motion
capture technology" refers to the technology that is used in order to transmit the whole of human
motion into the digital realm. On the other hand, numerical data that indicates accuracy is employed
in the program language that is used in order to achieve the real outcomes of this technology. It has
been shown that realism alone is insufficient for a computer to correctly understand a grin that was
acquired by motion capture. In this research, the first thing that is discussed is fuzzy logic, followed
by motion capture, digital motion capture technology, and finally human face muscles. The
contributions that fuzzy logic theory makes to the improvement of issue solving are talked about.
Then, beginning with the face muscles, the four primary muscles were designed using graphics so
that they had a fuzzy appearance. In conclusion, a discussion of the contribution that the fuzzy logic
theory has made to the solution follows.