Protection and Inheritance Strategy of She Traditional Sports Skills Based on Pattern Recognition
With the development of global economy and culture and the transformation of China’s cultural development strategy, the traditional sports culture of nationalities is undergoing a great change. In this paper, for the protection and inheritance of traditional sports skills of the She ethnic group, tw...
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| Vydané v: | Applied mathematics and nonlinear sciences Ročník 10; číslo 1 |
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Beirut
Sciendo
01.01.2025
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services |
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| Abstract | With the development of global economy and culture and the transformation of China’s cultural development strategy, the traditional sports culture of nationalities is undergoing a great change. In this paper, for the protection and inheritance of traditional sports skills of the She ethnic group, two Kinect sensors are firstly used to monitor the target human body simultaneously to solve the problem of inaccurate recognition of human behavior caused by occlusion. The human body model is used as the target, and the bone tracking technology is utilized to collect position information of the human body joints under the coordinate system of the two sensors respectively. Secondly, the joint point data is unified by global coordinate transformation, and the complete human posture model is derived by data fusion to extract the human feature region. Design the DLSTM-GCN action recognition network model, which extends the TCN network hierarchy on the basis of the ST-GCN algorithm and adds the residual mechanism to better capture the short-term and long-term time-dependent relationship between the actions of She traditional sports skills, and define the action evaluation formula to assess the She traditional sports skills. The experimental results show that the fusion study of human skeleton data is completed through the collection of coordinate points and the verification of simulation experiments, and the classification ability of DLSTM-GCN model on the She traditional sports skills movements is verified in the She dataset, as well as the enhancement effect of the modules on the classification accuracy, and the effect enhancement accuracy is improved from 63.55 to 98.76, which is remarkable. Finally, the traditional strategy of inheriting sports skills is proposed based on the results. |
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| AbstractList | With the development of global economy and culture and the transformation of China’s cultural development strategy, the traditional sports culture of nationalities is undergoing a great change. In this paper, for the protection and inheritance of traditional sports skills of the She ethnic group, two Kinect sensors are firstly used to monitor the target human body simultaneously to solve the problem of inaccurate recognition of human behavior caused by occlusion. The human body model is used as the target, and the bone tracking technology is utilized to collect position information of the human body joints under the coordinate system of the two sensors respectively. Secondly, the joint point data is unified by global coordinate transformation, and the complete human posture model is derived by data fusion to extract the human feature region. Design the DLSTM-GCN action recognition network model, which extends the TCN network hierarchy on the basis of the ST-GCN algorithm and adds the residual mechanism to better capture the short-term and long-term time-dependent relationship between the actions of She traditional sports skills, and define the action evaluation formula to assess the She traditional sports skills. The experimental results show that the fusion study of human skeleton data is completed through the collection of coordinate points and the verification of simulation experiments, and the classification ability of DLSTM-GCN model on the She traditional sports skills movements is verified in the She dataset, as well as the enhancement effect of the modules on the classification accuracy, and the effect enhancement accuracy is improved from 63.55 to 98.76, which is remarkable. Finally, the traditional strategy of inheriting sports skills is proposed based on the results. |
| Author | Lan, Hui |
| Author_xml | – sequence: 1 givenname: Hui surname: Lan fullname: Lan, Hui email: jmuhuilan2024@163.com organization: Department of Sports and Arts, Chengyi College, Jimei University, Xiamen, Fujian, 361021, China |
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| Cites_doi | 10.1057/s41254-019-00115-9 10.3390/electronics13183733 10.12783/dtssehs/aems2018/28017 10.1155/2021/4834944 10.54517/esp.v9i6.2498 10.6007/IJARPED/v12-i3/19187 10.1016/j.dib.2023.109334 10.1063/5.0111795 10.1109/ICECA52323.2021.9675978 10.25011/cim.v42i1.32389 10.17265/2159-5836/2018.05.006 10.4236/oalib.1110067 10.1080/09523367.2020.1757655 10.52783/jes.2652 |
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| SubjectTerms | 53Z50 Coordinate transformations Data fusion Graph convolutional neural network Kinect Traditional sports skills |
| Title | Protection and Inheritance Strategy of She Traditional Sports Skills Based on Pattern Recognition |
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