A Novel and Fast Virtual Surgical System Using Fuzzy Logic
Virtual Reality (VR) and associated technologies are experiencing growing importance in medicine and surgery. VR demands fast and real time simulations. Finite element analysis can be used for cutting simulation; however, finite element analysis is computationally intensive and is unsuitable for real time applications involving cutting of a large amount of tissue. We have developed a fuzzy logic based system which involves significantly reduced computational times and provides real time simulations of cutting. The user-exerted forces on a simulated cutting tool held by the user are dynamically measured and fed to the fuzzy logic system. The user-exerted forces and the stiffness of the element are first fuzzified and fed to a fuzzy rule base to provide the output membership values. These output membership values are then defuzzified using the centroid defuzzification technique to provide a crisp output of the cutting depth. The technique has been implemented in real time. Experiments with human users have shown consistent results.
Proceedings of the IADIS International Conference on Computer Science and Information System
Kutuva, Shanthanand; Reddy, Narender P.; Xiao, Yingcai; Gao, Xiaosheng; Hariharan, S. I.; and Kulkami, Saket, "A Novel and Fast Virtual Surgical System Using Fuzzy Logic" (2006). Mechanical Engineering Faculty Research. 941.