Analysis and Improvement of the Application of Playground Sports Posture Detection Technology in Physical Education Teaching and Training
DOI:
https://doi.org/10.4108/eetpht.10.5161Keywords:
sports posture detection, physical education and training, snow melting optimisation algorithm, deep extreme learning machineAbstract
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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