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基于物联网传感器感知的体育教学实践中的运动分析与动作优化。

Sports Analysis and Action Optimization in Physical Education Teaching Practice Based on Internet of Things Sensor Perception.

机构信息

Department of Physical Education, Chang'an University, Xi'an 710021, Shanxi, China.

出版信息

Comput Intell Neurosci. 2022 Jun 30;2022:7152953. doi: 10.1155/2022/7152953. eCollection 2022.

DOI:10.1155/2022/7152953
PMID:35814534
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9262472/
Abstract

With the progress of the Internet of things technology in recent years, all aspects of people's lives have also been affected. More and more people are immersed in the virtual world and ignore the real activities. According to the survey, nearly 50% of people in China are in subhealth, mainly modern diseases caused by long-term inactivity. Therefore, to form a good habit of physical exercise, we must start from an early age. Starting from the physical education teaching in primary and secondary schools and from the perspective of modern scientific and technological facilities, this paper discusses the practical sports analysis and action optimization of physical education teaching based on the perception of the Internet of things. Starting from the practice of Internet of things sensor sensing in physical education teaching, we have successively determined the multisensor motion acquisition system algorithm, motion pattern recognition algorithm, and motion energy consumption algorithm, which provides modern equipment for motion analysis and motion optimization in physical education teaching practice, which breaks the current situation that traditional teachers spend a lot of time and energy for students. Combining sports mode with sports energy consumption can not only analyze sports data accurately and in real time but also optimize and predict students' sports behavior in time. We hope to supervise and urge primary and secondary school students to exercise through technical means to improve the quality of primary and secondary school students' exercise and improve people's health through physical exercise.

摘要

近年来,随着物联网技术的进步,人们生活的方方面面也受到了影响。越来越多的人沉浸在虚拟世界中,而忽略了真实的活动。根据调查,中国近 50%的人处于亚健康状态,主要是由长期不活动引起的现代疾病。因此,要养成良好的体育锻炼习惯,必须从小做起。本文从中小学体育教学出发,从现代科技设施的角度出发,探讨基于物联网感知的体育教学实践中的体育分析和动作优化。从体育教学中物联网传感器感知的实践出发,我们先后确定了多传感器运动采集系统算法、运动模式识别算法和运动能耗算法,为体育教学实践中的运动分析和运动优化提供了现代设备,打破了传统教师为学生花费大量时间和精力的现状。将运动模式与运动能耗相结合,不仅可以准确、实时地分析运动数据,还可以及时优化和预测学生的运动行为。我们希望通过技术手段对中小学生进行监督和督促,以提高中小学生的锻炼质量,通过体育锻炼提高人们的健康水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8de/9262472/d17e09e2a9ab/CIN2022-7152953.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8de/9262472/98b825f2799e/CIN2022-7152953.001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8de/9262472/d17e09e2a9ab/CIN2022-7152953.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8de/9262472/98b825f2799e/CIN2022-7152953.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8de/9262472/39eed35a2824/CIN2022-7152953.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8de/9262472/a09801fb3772/CIN2022-7152953.003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8de/9262472/d17e09e2a9ab/CIN2022-7152953.007.jpg

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引用本文的文献

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Retracted: Sports Analysis and Action Optimization in Physical Education Teaching Practice Based on Internet of Things Sensor Perception.撤回:基于物联网传感器感知的体育教学实践中的运动分析与动作优化
Comput Intell Neurosci. 2023 Sep 20;2023:9813410. doi: 10.1155/2023/9813410. eCollection 2023.

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An Impulse Radio PWM-Based Wireless Data Acquisition Sensor Interface.一种基于脉冲无线电脉宽调制的无线数据采集传感器接口。
IEEE Sens J. 2019 Jan 15;19(2):603-614. doi: 10.1109/JSEN.2018.2877889. Epub 2018 Oct 29.