Abstract

Computer virtual reality technology has emerged in recent years; it is a widely used new technology in many areas. In this study, a three-dimensional simulation of the impact study conducted with the non-slip motion of swimming training channel wall upstream performance. Inertial coordinate system self-propelled swimming is checked directly by forced virtual reality technology. The hydrodynamic performance of previous systems has not been discovered based on simulations of this simple model. To transform the Android mobile phone system into a multi-segment robot with some rigid bodies and similarities. The proposed pre-processing feature of naive Bayesian algorithm analysis is a key technology for classification applications. Virtual reality technology and swimming training can prevent sports injuries and disrupt the binding constraints, and Android phones can enhance the effectiveness of education. The proposed naive Bayes algorithm is based on the study of virtual parameters of tailbeat frequency, followed by phase differences between adjacent body segments and body amplitudes. The effects of lateral and vertical distances between the model body and the swimming performance wall are also discussed. The results provide evidence for the mechanism of thrust generation, and ambient speed and vorticity fields and swimming training show excellent effects in sports.

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