Complex System of Vertical Baduanjin Lifting Motion Sensing Recognition under the Background of Big Data
Nowadays, the development of big data is getting faster and faster, and the related research on motion sensing recognition and complex systems under the background of big data is gradually being valued. At present, there are relatively few related researches on vertical Baduanjin in the academic cir...
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Wiley
2021-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/6690606 |
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author | Yan Zhang M. M. Kamruzzaman Lu Feng |
author_facet | Yan Zhang M. M. Kamruzzaman Lu Feng |
author_sort | Yan Zhang |
collection | DOAJ |
description | Nowadays, the development of big data is getting faster and faster, and the related research on motion sensing recognition and complex systems under the background of big data is gradually being valued. At present, there are relatively few related researches on vertical Baduanjin in the academic circles; research in this direction can make further breakthroughs in motion sensor recognition. In order to carry out related action recognition research on the lifting action of vertical Baduanjin, this paper uses sensor technology to collect the motion video image of vertical Baduanjin based on the background of big data and uses action recognition technology and related algorithms to obtain the action. Recognize the video image to obtain the data, get the acceleration, angular velocity, and EMG data, and count the end time and duration according to the change of the action. According to the data table and graph change trend compiled at the end of the experiment, we can see the following: after the data is preprocessed, the acceleration signal change range is limited to [−1, 1], and the acceleration change has a clear directionality; and, after 15 lifts of the detected object, its angular velocity in X-axis direction is basically negative. However, when the ninth lift is performed, the angular velocity of the movement in X-axis direction is 36.09, the largest of all angular velocities. When performing the 15th lifting action, the angular velocity of this action in Z-axis direction is −26.05, which is the smallest of all angular velocities. The longest duration of the left muscle discharge during the lifting action of the subject is 15.24 for the tibial anterior muscle and 8.91 for the external oblique muscle with the shortest duration. The longest discharge duration of the right muscle is also the tibial anterior muscle with 12.15, and the shortest duration is the erector spinae with 8.79. |
format | Article |
id | doaj-art-30d1fbc511fb421185e8b917480db1fe |
institution | Kabale University |
issn | 1076-2787 1099-0526 |
language | English |
publishDate | 2021-01-01 |
publisher | Wiley |
record_format | Article |
series | Complexity |
spelling | doaj-art-30d1fbc511fb421185e8b917480db1fe2025-02-03T05:52:27ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66906066690606Complex System of Vertical Baduanjin Lifting Motion Sensing Recognition under the Background of Big DataYan Zhang0M. M. Kamruzzaman1Lu Feng2Sports Teaching and Research Office, Suzhou Institute of Trade and Commerce, Suzhou 215009, Jiangsu, ChinaDepartment of Computer and Information Science, Jouf University, Sakaka 72311, Al-Jouf, Saudi ArabiaDepartment of Basic Courses, Wuhan Donghu University, Wuhan 430212, Hubei, ChinaNowadays, the development of big data is getting faster and faster, and the related research on motion sensing recognition and complex systems under the background of big data is gradually being valued. At present, there are relatively few related researches on vertical Baduanjin in the academic circles; research in this direction can make further breakthroughs in motion sensor recognition. In order to carry out related action recognition research on the lifting action of vertical Baduanjin, this paper uses sensor technology to collect the motion video image of vertical Baduanjin based on the background of big data and uses action recognition technology and related algorithms to obtain the action. Recognize the video image to obtain the data, get the acceleration, angular velocity, and EMG data, and count the end time and duration according to the change of the action. According to the data table and graph change trend compiled at the end of the experiment, we can see the following: after the data is preprocessed, the acceleration signal change range is limited to [−1, 1], and the acceleration change has a clear directionality; and, after 15 lifts of the detected object, its angular velocity in X-axis direction is basically negative. However, when the ninth lift is performed, the angular velocity of the movement in X-axis direction is 36.09, the largest of all angular velocities. When performing the 15th lifting action, the angular velocity of this action in Z-axis direction is −26.05, which is the smallest of all angular velocities. The longest duration of the left muscle discharge during the lifting action of the subject is 15.24 for the tibial anterior muscle and 8.91 for the external oblique muscle with the shortest duration. The longest discharge duration of the right muscle is also the tibial anterior muscle with 12.15, and the shortest duration is the erector spinae with 8.79.http://dx.doi.org/10.1155/2021/6690606 |
spellingShingle | Yan Zhang M. M. Kamruzzaman Lu Feng Complex System of Vertical Baduanjin Lifting Motion Sensing Recognition under the Background of Big Data Complexity |
title | Complex System of Vertical Baduanjin Lifting Motion Sensing Recognition under the Background of Big Data |
title_full | Complex System of Vertical Baduanjin Lifting Motion Sensing Recognition under the Background of Big Data |
title_fullStr | Complex System of Vertical Baduanjin Lifting Motion Sensing Recognition under the Background of Big Data |
title_full_unstemmed | Complex System of Vertical Baduanjin Lifting Motion Sensing Recognition under the Background of Big Data |
title_short | Complex System of Vertical Baduanjin Lifting Motion Sensing Recognition under the Background of Big Data |
title_sort | complex system of vertical baduanjin lifting motion sensing recognition under the background of big data |
url | http://dx.doi.org/10.1155/2021/6690606 |
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