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基于传感器和模糊算法的居民体能数据监测系统设计。

Design of a Resident Physical Fitness Data Monitoring System Based on the Sensor and Fuzzy Algorithm.

机构信息

Xi'an Physical Education University, Xi'an, Shanxi 710068, China.

出版信息

Comput Intell Neurosci. 2022 Aug 1;2022:1742807. doi: 10.1155/2022/1742807. eCollection 2022.

DOI:10.1155/2022/1742807
PMID:35958772
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9359843/
Abstract

This article first introduces the working principle and research progress of motion sensors and analyzes the advantages and disadvantages of motion tracking sensors to provide a reference for in-depth research on motion sensing technology. By combining the fuzzy judgment method to identify the kinematic parameters, this paper establishes the statistical identification of features to predict the kinematic parameters and uses the fuzzy identification method to model the human behavioral characteristics. At the same time, the article designs a set of real-time data monitoring system for athletes' real-time monitoring behavior under actual sports conditions, which is used to obtain residents' sports data. Then, based on such requirements, the overall system architecture was designed to integrate the data acquisition module, data storage and processing module, and real-time data presentation module. The motion monitor can initiate a real-time monitoring request for a specific system group, the server can monitor individual groups to add real-time individual motion status, and the system will issue an alert if the system monitors a potentially dangerous situation.

摘要

本文首先介绍了运动传感器的工作原理和研究进展,并分析了运动跟踪传感器的优缺点,为深入研究运动感应技术提供参考。通过结合模糊判断方法来识别运动参数,本文建立了对特征的统计识别以预测运动参数,并使用模糊识别方法对人体行为特征进行建模。同时,本文设计了一套实时数据监测系统,用于在实际运动条件下对运动员的实时监测行为进行实时监测,以获取居民的运动数据。然后,根据这些要求,设计了总体系统架构,集成了数据采集模块、数据存储和处理模块以及实时数据呈现模块。运动监测器可以为特定系统组发起实时监测请求,服务器可以监控单个组以添加实时的单个运动状态,如果系统监测到潜在危险情况,系统将发出警报。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a786/9359843/a945d67f85a5/CIN2022-1742807.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a786/9359843/0d77e581f455/CIN2022-1742807.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a786/9359843/11a13bea2bad/CIN2022-1742807.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a786/9359843/a945d67f85a5/CIN2022-1742807.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a786/9359843/0d77e581f455/CIN2022-1742807.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a786/9359843/11a13bea2bad/CIN2022-1742807.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a786/9359843/a945d67f85a5/CIN2022-1742807.003.jpg

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本文引用的文献

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Gender differences in instep soccer kicking biomechanics, investigated through a 3D human motion tracker system.
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MonoCap: Monocular Human Motion Capture using a CNN Coupled with a Geometric Prior.单目人体运动捕捉:使用结合几何先验的卷积神经网络进行单目人体运动捕捉。
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