[Retracted] Analysis of Body Behavior Characteristics after Sports Training Based on Convolution Neural Network

Abstract

The use of artificial intelligence technology to analyze human behavior is one of the key research topics in the world. In order to detect and analyze the characteristics of human body behavior after training, a detection model combined with a convolutional neural network (CNN) is proposed. Firstly, the human skeleton suggestion model is established to analyze the driving mode of the human body in motion. Secondly, the number of layers and neurons in CNN are set according to the skeleton feature map. Then, the output information is classified according to the fatigue degree according to the body state after exercise. Finally, the training and performance test of the model are carried out, and the effect of the body behavior feature detection model in use is analyzed. The results show that the CNN designed in the study shows high accuracy and low loss rate in training and testing and also has high accuracy in the practical application of fatigue degree recognition after human training. According to the subjective evaluation of volunteers, the overall average evaluation is more than 9 points. The above results show that the designed convolution neural network-based detection model of body behavior characteristics after training has good performance and is feasible and practical, which has guiding significance for the design of sports training and training schemes.

The Auxiliary Function of Intelligent Mobile Robot in the Standard Training of Children’s Sports Movement

“…Basic movements for children include walking, running, jumping, throwing, balancing, drilling, and climbing; basic gymnastics includes changing formations and queues. This experiment is also carried out around the basic movements, Figure 5 is a schematic diagram of children's sports training: Basic movements have a developmental process [27]. The so-called development refers to the change of things from small to large, from simple to complex, and from low-level to high-level.…”

Retracted: Analysis of Body Behavior Characteristics after Sports Training Based on Convolution Neural Network

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1].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:…”

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ].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 …”