Analysis and Improvement of the Application of Playground Sports Posture Detection Technology in Physical Education Teaching and Training

Authors

  • Jie Xu Jiangxi Technical College of Manufacturing

DOI:

https://doi.org/10.4108/eetpht.10.5161

Keywords:

sports posture detection, physical education and training, snow melting optimisation algorithm, deep extreme learning machine

Abstract

 

INTORDUCTION: The goal of human posture detection technology applied in the field of sports is to realise the indexing of sports norms, to provide scientific guidance for training and teaching, which is of great significance to improve the quality of sports.

OBJECITVES: Aiming at the problems of incomplete features, low accuracy and low real-time performance of sports posture detection and recognition methods.

METHODS: In this paper, a method of sports pose detection based on snow melting heuristic optimisation algorithm of deep limit learning machine network is proposed. Firstly, by analyzing the process of motion pose detection, extracting the feature coordinates of Blaze-Pose and Blaze-Hands key nodes, and constructing the motion pose detection recognition system; then, optimizing the parameters of the deep extreme learning machine network through the snow-melt optimization algorithm, and constructing the motion pose detection recognition model; finally, through simulation experiments and analysis, the accuracy of the proposed method's motion pose detection recognition can reach 95% and the recognition time is less than 0.01 s.

RESULTS: The results show that the proposed method improves the recognition accuracy precision, robustness and real-time performance.

CONCLUSION: The problem of poor generalisation, low accuracy and insufficient real-time performance of the recognition application of the motion pose detection and recognition method is solved.

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References

Ren L .A triboelectric nanogenerator based on foam for human motion posture monitoring[J].Materials Technology, 2022. DOI: https://doi.org/10.1080/10667857.2021.1925043

Liu Q .Human motion state recognition based on MEMS sensors and Zigbee network[J].Computer Communications, 2022, 181:164-172. DOI: https://doi.org/10.1016/j.comcom.2021.10.018

Mandischer N , Hou R , Corves B .Multiposture leg tracking for temporarily vision restricted environments based on fusion of laser and radar sensor data[J].Journal of Field Robotics, 2023. DOI: https://doi.org/10.1002/rob.22195

Xia P , Liu P , Wu S , Zhang Q, Wang P, Hu R. Highly stretchable and sensitive flexible resistive strain sensor based on waterborne polyurethane polymer for wearable electronics[J].Composites science and technology, 2022(4):221. DOI: https://doi.org/10.1016/j.compscitech.2022.109355

Li S , Wang J , Zhang H , Fu J, Lu G, Chen J. A real-time explicit mapping and teleoperation control method for humanoid robots with posture constraints[J]. .Mechatronics, 2023, 90:102937-. DOI: https://doi.org/10.1016/j.mechatronics.2022.102937

Zhuang Z , Fangjie Y U , Chen G .Motion simulation of moorings using optimised LSTM neural network[J]. Journal of Marine Lakes and Marshes (in English), 2023, 41(5):1678-1693. DOI: https://doi.org/10.1007/s00343-022-2199-6

Shin Y H .Effect of Cross-legged Sitting Posture on Joint Range of Motion: Correlation with Musculoskeletal Symptoms and Facial Asymmetry[J]. Journal of Korean Physical Therapy, 2022. DOI: https://doi.org/10.18857/jkpt.2022.34.5.255

Langley B , Greig M .The gait abnormality index: a summary metric for three-dimensional gait analysis[J].Gait & posture, 2023:105. DOI: https://doi.org/10.1016/j.gaitpost.2023.07.281

Hou Y K , Wang H , Wei Y , Lu H C, Fernando T. Robust adaptive finite-time tracking control for Intervention-AUV with input saturation and output constraints using high-order control barrier function[J].Ocean Engineering, 2023, 268:113219-. DOI: https://doi.org/10.1016/j.oceaneng.2022.113219

J. Liu, W. X. Zhang, Y. G. Li, Y. Chao Zhang, J. Zhou. Research on line consistency measurement based on twin neural network[J]. Journal of Beijing Institute of Technology, 2022, 42(6):9.

Z.F. Jiang, W. Li, Y. Huang, Y.L. Yin, Z.J. Guo, J.L. Peng.PESTA: An Elastic Motion Capture Data Retrieval Method[J]. Journal of Computer Science and Technology:English Edition, 2023, 38(4):867-884. DOI: https://doi.org/10.1007/s11390-023-3140-y

Robson N , Won J S .Natural hand posture determination using control-oriented inter-finger coordination kinematic models[J].International journal of mechanisms and robotic systems, 2023. DOI: https://doi.org/10.1504/IJMRS.2023.129423

Caliskan A .Detecting human activity types from 3D posture data using deep learning models[J].Biomedical signal processing and control, 2023. DOI: https://doi.org/10.1016/j.bspc.2022.104479

Li Y , Feng Q , Liu C , Xiong Z, Sun Y, Xie F. MTA-YOLACT: Multitask-aware network on fruit bunch identification for cherry tomato robotic harvesting[J]. .European Journal of Agronomy, 2023:146. DOI: https://doi.org/10.1016/j.eja.2023.126812

Park S , Chai Y .Key Posture Extraction Method using a Small Number of Motion Datasets[J].Moving Image & Technology, 2023. DOI: https://doi.org/10.15323/mint.2023.4.3.1.8

Zhang X , Fan J , Peng T ,Zheng P, Zhang X, Tang R. Multimodal data-based deep learning model for sitting posture recognition toward office workers' health promotion[J].Sensors and Actuators A: Physical, 2023, 350:114150-. DOI: https://doi.org/10.1016/j.sna.2022.114150

Lin Y , Jiao X , Zhao L .Detection of 3D Human Posture Based on Improved Mediapipe[J]. Computer and Communications (English), 2023, 11(2):102-121. DOI: https://doi.org/10.4236/jcc.2023.112008

Guo H , Hao Q .Research on Aided Judgment of Rural Sports Posture Based on Deep Learning[J].Scientific Programming, 2022. DOI: https://doi.org/10.1155/2022/5916301

MAO Li, WANG Yuntao, LIU Xingyang, LI Chaofeng. Short-term power load forecasting method based on improved limit learning machine[J]. Power System Protection and Control, 2012, 40(20):5.

Liao Yunfeng Shan Hongtao Song Wanqing. Container loading optimisation based on hybrid heuristic algorithm[J]. Manufacturing Automation, 2023, 45(5):124-128.

Chen Y C , Sun H M , Shih Y H .The effect factors of motion sickness induced by sensory conflict and posture instability theories[J].International Journal of Human Factors and Ergonomics, 2022(1):9. DOI: https://doi.org/10.1504/IJHFE.2022.120475

LI Haopeng,WANG Jingcheng,HUANG Jiaoru. Abnormal behaviour recognition of factory personnel based on machine vision[J]. Computer and Digital Engineering, 2022, 50(10):2176-2181.

Goll J B , Bosinger S , Jensen T L , Walum H, Grimes T, Tharp G. Corrigendum: The Vacc-SeqQC project: benchmarking RNA-Seq for clinical vaccine studies [ J].Frontiers in Immunology, 2023, 14. DOI: https://doi.org/10.3389/fimmu.2023.1163550

Su W C , Wu X , Horng T , Tang M C. Hybrid Continuous-Wave and Self-Injection-Locking Monopulse Radar for Posture and Fall Detection[J].IEEE Transactions on Microwave Theory and Techniques, 2022, 70:1686-1695. DOI: https://doi.org/10.1109/TMTT.2022.3142142

Chen Z , Guo Y , Guo C .Prediction of GHG emissions from Chengdu Metro in the construction stage based on WOA-DELM[J].Tunnelling and underground space technology, 2023. DOI: https://doi.org/10.1016/j.tust.2023.105235

Lingyun D, Sanyang L. Snow ablation optimizer: a novel metaheuristic technique for numerical optimisation and engineering design[J]. Expert Systems With Applications, 2023, 225: 120069 DOI: https://doi.org/10.1016/j.eswa.2023.120069

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Published

18-03-2024

How to Cite

1.
Xu J. Analysis and Improvement of the Application of Playground Sports Posture Detection Technology in Physical Education Teaching and Training. EAI Endorsed Trans Perv Health Tech [Internet]. 2024 Mar. 18 [cited 2024 Apr. 25];10. Available from: https://publications.eai.eu/index.php/phat/article/view/5161