Computational Technologies for the Wearable Sports Training System Based on Sensor Acquisition-Reference-Cited by-同舟云学术

Computational Technologies for the Wearable Sports Training System Based on Sensor Acquisition

Published:2022-02-28 Issue: Volume:2022 Page:1-7
ISSN:1939-0122
Container-title:Security and Communication Networks
language:en
Short-container-title:Security and Communication Networks

Author:

Wang Guochang¹,Meng Qinghui²,Xu Wen³^ORCID

Affiliation:

1. Department of Physical Education, North China Institute of Aerospace Engineering, Langfang 065000, Hebei, China

2. School of Automation Engineering, Henan Polytechnic Institute, Nanyang 473000, China

3. Department of Physical Education, Beijing Union University, Beijing 100101, China

Abstract

Aiming at the problems of long time-consuming and low precision in traditional training system, a wearable sports training system based on data mining is proposed and designed. According to the overall structure of the system, the hardware and software of the system are designed respectively. The hardware part is mainly composed of attitude measurement unit, power supply unit, main control unit, clock circuit, and reset circuit. The software part introduces the data mining method of mining sports training information data. The experimental results show that the system designed in this study effectively shortens the time-consuming time, improves the accuracy, and has certain advantages.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

Link

http://downloads.hindawi.com/journals/scn/2022/4443834.pdf

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