The Construction of Adaptive Learning for Sports Based on Aerobics Trajectory Recognition Model

Abstract

Perceiving the movement track of aerobics is a key element of learning aerobics, but the current aerobics movement is not very professional, the ability to identify the movement track is weak, and improper movement in the movement process is easy to cause physical injury. In order to improve the safety of athletes in bodybuilding training, this paper uses Kinect to hold the coach’s body contour, determine the standard level of coaches’ sports, and combine the characteristics for aerobics training, so as to improve the sports level of coaches, through data acquisition, data processing, and feature extraction to assist sports learning, as well as human posture recognition. The calculation and recognition of human skeleton joints are completed by two algorithms, which improve the human motion recognition algorithm. The aerobics data collected by Kinect device is specified and digitized, which enhances the robustness of the system and improves the performance of the algorithm and the accuracy of the motion data.

Design of Real-time Movement Guidance System Based on Blazepose on Mobile Terminal

“…In different places in the city, we can often see some people who love sports or try to use exercise to reduce fat and shape, and whether these exercises can really achieve the effect of the exercisers is closely related to their exercise posture. With a standard posture, a wrong posture can not only lead to double effort, but also be counterproductive and even cause muscle strain [1]. However, the cost of fitness coaches is not affordable for most people.…”

Retracted: The Construction of Adaptive Learning for Sports Based on Aerobics Trajectory Recognition Model

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1].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