Real-time detection of aerobics posture based on strain sensor

Abstract The Internet of Things is a network that realizes the intelligent connection between things. It is another major industry after the computer industry and the Internet industry. It is also a collection of computer technology, communication technology, sensor technology, storage technology, a...

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Autor principal:	Shanshan Zhu
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	Internet of Things System Intelligent Environment Strain Sensor Aerobics Posture Real-Time Detection Telecommunication TK5101-6720 Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/dabca497354944109f06d6cbf5e33a6e
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id	oai:doaj.org-article:dabca497354944109f06d6cbf5e33a6e
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spelling	oai:doaj.org-article:dabca497354944109f06d6cbf5e33a6e2021-11-21T12:14:22ZReal-time detection of aerobics posture based on strain sensor10.1186/s13634-021-00818-31687-6180https://doaj.org/article/dabca497354944109f06d6cbf5e33a6e2021-11-01T00:00:00Zhttps://doi.org/10.1186/s13634-021-00818-3https://doaj.org/toc/1687-6180Abstract The Internet of Things is a network that realizes the intelligent connection between things. It is another major industry after the computer industry and the Internet industry. It is also a collection of computer technology, communication technology, sensor technology, storage technology, and many other leading technologies in an integrated industry, the application industry is very wide. This article mainly introduces the real-time detection of aerobics posture based on strain sensors. This paper proposes a real-time detection method of motion posture based on strain sensors, using flexible rods to simulate the joints of aerobics athletes. Through the survey of the motion posture by the strain sensor, the relevant data and parameters are collected, and then the data are processed, and the data are finally transmitted to the terminal. Since the stress of a specific point on the surface of the flexible rod is proportional to the curve of that point, strain gauges can be used to detect curve changes at multiple points in real time and draw the change curve on the computer. The experimental structure of this paper shows that the use of BP neural network to process the measurement data improves the accuracy of real-time detection. The error distance between the sampling point and the actual value is less than 0.3 cm. In addition, through the real-time detection of the motion posture, it can be concluded that good Body posture is the basic requirement of aerobics, and it is of great significance to improve the effect of improving the quality of movement and artistic expression.Shanshan ZhuSpringerOpenarticleInternet of Things SystemIntelligent EnvironmentStrain SensorAerobics PostureReal-Time DetectionTelecommunicationTK5101-6720ElectronicsTK7800-8360ENEURASIP Journal on Advances in Signal Processing, Vol 2021, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Internet of Things System Intelligent Environment Strain Sensor Aerobics Posture Real-Time Detection Telecommunication TK5101-6720 Electronics TK7800-8360
spellingShingle	Internet of Things System Intelligent Environment Strain Sensor Aerobics Posture Real-Time Detection Telecommunication TK5101-6720 Electronics TK7800-8360 Shanshan Zhu Real-time detection of aerobics posture based on strain sensor
description	Abstract The Internet of Things is a network that realizes the intelligent connection between things. It is another major industry after the computer industry and the Internet industry. It is also a collection of computer technology, communication technology, sensor technology, storage technology, and many other leading technologies in an integrated industry, the application industry is very wide. This article mainly introduces the real-time detection of aerobics posture based on strain sensors. This paper proposes a real-time detection method of motion posture based on strain sensors, using flexible rods to simulate the joints of aerobics athletes. Through the survey of the motion posture by the strain sensor, the relevant data and parameters are collected, and then the data are processed, and the data are finally transmitted to the terminal. Since the stress of a specific point on the surface of the flexible rod is proportional to the curve of that point, strain gauges can be used to detect curve changes at multiple points in real time and draw the change curve on the computer. The experimental structure of this paper shows that the use of BP neural network to process the measurement data improves the accuracy of real-time detection. The error distance between the sampling point and the actual value is less than 0.3 cm. In addition, through the real-time detection of the motion posture, it can be concluded that good Body posture is the basic requirement of aerobics, and it is of great significance to improve the effect of improving the quality of movement and artistic expression.
format	article
author	Shanshan Zhu
author_facet	Shanshan Zhu
author_sort	Shanshan Zhu
title	Real-time detection of aerobics posture based on strain sensor
title_short	Real-time detection of aerobics posture based on strain sensor
title_full	Real-time detection of aerobics posture based on strain sensor
title_fullStr	Real-time detection of aerobics posture based on strain sensor
title_full_unstemmed	Real-time detection of aerobics posture based on strain sensor
title_sort	real-time detection of aerobics posture based on strain sensor
publisher	SpringerOpen
publishDate	2021
url	https://doaj.org/article/dabca497354944109f06d6cbf5e33a6e
work_keys_str_mv	AT shanshanzhu realtimedetectionofaerobicsposturebasedonstrainsensor
_version_	1718419154005917696

Real-time detection of aerobics posture based on strain sensor

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