MODELING OF LAUGHING MIMIC CAUGHT WITH MOTION CAPTURE TECHNOLOGY USING FUZZY LOGIC
Yavuz Selim Balcıoğlu, Aslı KILIÇ, Ferhat Pakdamar · SOCIAL SCIENCE DEVELOPMENT JOURNAL · 2022
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.