Optimization of Sports Training Systems Based on Wireless Sensor Networks Algorithms

This paper aims to design and optimize a sports training system through wireless sensor network technology, which mainly includes a hardware system and software system. In the hardware system, the design of sensor nodes and the base station is realized, which can realize the real-time collection of...

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Published in:IEEE sensors journal Vol. 21; no. 22; pp. 25075 - 25082
Main Authors: Yang, Jun, Lv, Wu
Format: Journal Article
Language:English
Published: New York IEEE 15.11.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
athletic training
Bluetooth
Cloud computing
Data transmission
Design optimization
Hardware
Inertial platforms
Interference
networks
Parameters
Sensor systems
Sensors
Servers
Smartphones
Software
Sports
Sports training
system optimization
Training
Wearable computers
Wearable technology
Wireless communication
Wireless networks
Wireless sensor networks
Wireless sensors algorithms
ISSN:1530-437X, 1558-1748
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Abstract This paper aims to design and optimize a sports training system through wireless sensor network technology, which mainly includes a hardware system and software system. In the hardware system, the design of sensor nodes and the base station is realized, which can realize the real-time collection of movement parameters by the movement collectors. In the software system, the design of base station control, node control, and motion database software is realized, which can effectively collect, store, and analyze the motion parameters. Finally, the wireless sensor network-based sports training system is tested, and the test results show that the system designed in this paper can meet the needs of sports training use. The inertial measurement unit in the wearable device is used to collect the data generated by the human body during exercise, and low-power Bluetooth is used as the data transmission protocol between the wearable device and the smartphone. The server side provides computing resources in the form of cloud computing to achieve client-server interaction. In combination with the idea of service containerization, a deployment scheme for cloud services was proposed using container choreography, and compared to the pre-training period, the subjects' trunk sway in the front and back directions decreased by 60.5% and 54.0%, and the trunk sway in the left and right directions decreased by 67.1% and 50.3% during and after training, respectively, and the ratio of time occupied by the equilibrium state increased by 63.5% and 47.4%, subjects' balance was effectively improved.
AbstractList This paper aims to design and optimize a sports training system through wireless sensor network technology, which mainly includes a hardware system and software system. In the hardware system, the design of sensor nodes and the base station is realized, which can realize the real-time collection of movement parameters by the movement collectors. In the software system, the design of base station control, node control, and motion database software is realized, which can effectively collect, store, and analyze the motion parameters. Finally, the wireless sensor network-based sports training system is tested, and the test results show that the system designed in this paper can meet the needs of sports training use. The inertial measurement unit in the wearable device is used to collect the data generated by the human body during exercise, and low-power Bluetooth is used as the data transmission protocol between the wearable device and the smartphone. The server side provides computing resources in the form of cloud computing to achieve client-server interaction. In combination with the idea of service containerization, a deployment scheme for cloud services was proposed using container choreography, and compared to the pre-training period, the subjects' trunk sway in the front and back directions decreased by 60.5% and 54.0%, and the trunk sway in the left and right directions decreased by 67.1% and 50.3% during and after training, respectively, and the ratio of time occupied by the equilibrium state increased by 63.5% and 47.4%, subjects' balance was effectively improved.
Author Yang, Jun
Lv, Wu
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Cites_doi 10.1186/s40064-016-3069-5
10.1080/15732479.2016.1198395
10.1080/00207721.2018.1544303
10.1080/03772063.2016.1229580
10.1080/00207217.2019.1636313
10.1080/03772063.2018.1436472
10.1109/JSTSP.2017.2676468
10.1080/02564602.2017.1396938
10.1080/00051144.2019.1639121
10.1080/02564602.2017.1391136
10.1080/03772063.2017.1329637
10.1080/00207217.2019.1692244
10.1080/21681724.2017.1279226
10.1080/0305215X.2016.1145015
10.1080/00207217.2018.1501615
10.1080/00051144.2019.1637174
10.1080/00207217.2017.1292554
10.1007/s11276-017-1591-1
10.1109/JSEN.2016.2597312
10.1080/00207217.2016.1216177
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References ref13
ref12
ref15
ref14
ref20
ref11
ref10
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ref17
ref16
ref19
ref18
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ref7
ref9
ref4
ref3
ref6
ref5
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SubjectTerms Algorithms
athletic training
Bluetooth
Cloud computing
Data transmission
Design optimization
Hardware
Inertial platforms
Interference
networks
Parameters
Sensor systems
Sensors
Servers
Smartphones
Software
Sports
Sports training
system optimization
Training
Wearable computers
Wearable technology
Wireless communication
Wireless networks
Wireless sensor networks
Wireless sensors algorithms
Title Optimization of Sports Training Systems Based on Wireless Sensor Networks Algorithms
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