The Rehabilitation Training Simulation of High Difficulty Movement and Sports Strain Site Based on Big Data

Abstract

We study the rehabilitation training of damaged parts of ice and snow sports clock and ensure the physical safety of athletes. The results show that the RBF neural network updates the center, weight, and width of the radial basis function, and the predicted maximum compliance is 99%, and the minimum compliance is 93%. After many analysis times, the prediction results show that the difference between the predicted degree of conformity and the actual results is less than 8%. The RBF neural network is trained according to the risk database of sports injury, and the RBF neural network will output corresponding values to realize sports injury estimation. The experimental results show that the designed model has high precision and efficiency.

The Application and Development Trend of Youth Sports Simulation Based on Computer Vision

“…In this paper, the following contrast method is used to draw the individual contour. The first step in the difference in background is to get a stable, reliable background image, then count the differences between the current frame image and the image after to get a comparison image, and then make a binary diagram of the differences between the two to start the value to get the contour of the object moving [12]. The test is taught in…”

Retracted: The Rehabilitation Training Simulation of High Difficulty Movement and Sports Strain Site Based on Big Data

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”