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Huang Haiyan. Deepening the integration of sports and science and technology to promote the high-quality development of sports industry [J]. Sports Research, 2020, 41(5)1 (in Chinese).Search in Google Scholar
Guo Shuang. Discussion on the Application of Artificial Intelligence Technology in College Students’ PE Classroom Construction [J]. Computer Products and Circulation, 2020, 5 266-267 (in Chinese).Search in Google Scholar
Zou Jiang. A summary of the application of artificial intelligence technology in sports [J]. Science and Technology Information, 2019, 17(8) 119-120 (in Chinese).Search in Google Scholar
Fothergill S, Mentis H, Kohli P, et al. Instructing people for training gestural interactive systems[C], in Proceedings of the Conference on Human Factors in Computing Systems. 2012 1737-1746.Search in Google Scholar
Liao Lei, Ye Liaokun. Exploration of educational application innovation in PE from the perspective of artificial intelligence [J]. Journal of Qinghai Normal University (Natural Science Edition), 2020, 36(1) 65-70 (in Chinese).Search in Google Scholar
Ha, Amy S., et al. “A school-based rope skipping program for adolescents: Results of a randomized trial.” Preventive medicine101 (2017): 188-194.Search in Google Scholar
Zhang, Zhichao, et al. “A sensor-based golfer-swing signature recognition method using linear support vector machine.” Elektrotehniski Vestnik 84.5 (2017): 247-252.Search in Google Scholar
Chen Wanjun, Zhang Erhu. Summary of research on human motion recognition based on depth information [J]. Journal of Xi’an University of Technology, 2015, 31(3) 253-264 (in Chinese).Search in Google Scholar
Wei S E, Ramakrishna V, Kanade T, et al. Convolutional pose machines [C], in Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, 2016 4724-4732.Search in Google Scholar
Qian Yimin. Behavior recognition based on depth image and bone data [D]. civil aviation university of China, 2020 (in Chinese).Search in Google Scholar
Huang Xiaoyi. Human behavior recognition method based on projection features of bone joints [J]. Modern Computer, 2019, 36 3-7 (in Chinese).Search in Google Scholar
Zhang, Min-Ling, and Zhi-Hua Zhou. “A review on multi-label learning algorithms.”IEEE transmovements on knowledge and data engineering 26.8 (2013): 1819-1837.Search in Google Scholar
Wei Wu, Hao Aimin, Zhao Yongtao. Orientation determination of posture-independent mannequin [J]. Journal of Computer Aided Design and Graphics, 2010, 22(12) 2061-2066 (in Chinese).Search in Google Scholar
Innmann, Matthias, e al. “VolumeDeform: Real-time volumetric non-rigid reconstruction.” European Conference on Computer Vision. Springer, Cham, 2016.Search in Google Scholar
Dou, Mingsong, et al. “Fusion4d: Real-time performance capture of challenging scenes.” ACM Transmovements on Graphics (TOG) 35.4 (2016): 1-13.Search in Google Scholar
Xu Yuan, Xu Xiaoliang, Li Cainian, et al. Pedestrian detection based on SVM classifier and HOG feature extrmovement. Computer Engineering, 2016, 42(01): 56-60 (in Chinese).Search in Google Scholar
Mou Jiapeng, Cai Jian, Yu Mengchi, et al. A multi-tag classification algorithm for generic attributes based on tag correlation [J]. Computer Application Research. 2019, 37(9):1-4 (in Chinese).Search in Google Scholar
Zha D. and C Li. Multi-label dataless text classification with topic modeling [J]. Knowledge and Information Systems, 2019, 61(1): 137-160.Search in Google Scholar
Mori G, Ren X, Efros A, et al. Recovering human body configurations Combining segmentation and recognition [C], in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004, 2 326-333.Search in Google Scholar
Liang Yike, Xie Xiaolan, Zhang Yingchun, Zhang Jue. Multi-tag classification algorithm based on tag relevance [J]. Computer Simulation, 2021, 38(12):255-261 (in Chinese).Search in Google Scholar
Zhang Jinhuang, Wu Lijuan, Liang Shuting. Project management system based on SSM integration framework [J]. Computer Knowledge and Technology, 2015(11):109-111 (in Chinese).Search in Google Scholar
M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele. “2D human pose estimation: new benchmark and state of the art analysis. “ In CVPR, 2014.Search in Google Scholar
Ni Hongjun. Research on Android application development based on MVP mode [J]. Electronic Design Engineering, 2018, 026(011):6-9, 13 (in Chinese).Search in Google Scholar
Li Zhengxin, Guo Jiansheng, ying wang, et al. Filtering search method of DTW distance [J]. Control and Decision-making, 2018, 33(7) 1277-1281 (in Chinese).Search in Google Scholar
