The interaction force model of soft tissue for virtual surgery system based on KNN algorithm

It is difficult to simulate haptic interactions in a virtual surgical system due to the complexity of biomechanical features. Most prevalent methods simulate the viscoelasticity of soft tissues by establishing spring and damping models or neural networks, but the former often have poor accuracy while the latter cannot satisfy the real-time requirements of virtual surgical systems. This paper proposes an interaction force model based on K-nearest neighbor algorithm (KNN algorithm) and applies it to a virtual surgical system. The experimental result shows that the model to predict the force feedback of the soft tissue based on KNN algorithm can calculate the interactive force accurately during the puncture process. It meets the requirements of real-time and yields a range of error narrower than that incurred in case of manual perception.