Physical Education Teaching Strategy under Internet of Things Data Computing Intelligence Analysis

Abstract

Racket sports such as tennis are amongst the most popular recreational sports activities. Optimizing tennis teaching methods and improving teaching modes can effectively improve the teaching quality of tennis. In this study, a video and image action recognition system based on image processing techniques and Internet of things is developed to overcome the shortcomings of the traditional tennis teaching methods. To validate its performance, the students of tennis courses are divided into experimental group and control group, respectively. The control group is taught by using the traditional tennis teaching method whereas the experimental group is taught by using the IoT video and image recognition teaching system. Three factors of students including service throwing height, arm elbow angle, and knee bending angles of both groups are measured and compared with those of world elite tennis players. The results show that the students’ serving abilities in the experimental group are significantly improved using the video and image recognition system based on IoT, and they are better than those of the students in the control group. The proposed video and image processing technique can be applied in students’ physical education and can be employed to provide the basis for the innovation of tennis teaching strategies in physical education.

Research on the Teaching Reform of Physical Education Combined with Civic and Political Education in the New Era under the Background of Big Data

“…Schools should firmly establish a holistic view of education and teaching and play a key role in promoting the construction of sports teaching and practicing course ideology to ensure that the process of sports teaching and practicing course ideology is scientific, systematic and effective and to find and solve the problems of sports teaching and practicing course ideology in a timely manner [25][26]. The relevant leading departments of the school should consciously and actively communicate the policy so as to achieve consistency in the pace between departments.…”

Multitask Multi attention Residual Shrinkage Convolutional Neural Network Personalized Assessment Model of Tennis Teaching Based on Data Mining and Intelligent Recommendation

“…There plenty of top tennis players. As a result, tennis training for young people is a top precedence, country is starting to take notice [7,8]. This has allowed for more indepth youth tennis training, as well as the winning of numerous struggles, opportunities for young tennis players [9].Yang developed volleyball fitness method depend on data mining, analyzed five major components of volleyball players using mathematical statistics, generated volleyball typical indicators depend on five fitness traits [10].…”

Retracted: Physical Education Teaching Strategy under Internet of Things Data Computing Intelligence Analysis

“…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:…”