Abstract
In order to improve the training accuracy of sports teaching and training, and promote the scientific and standardized sports teaching and training, a correcting assistant system based on. NET platform is designed. Based on the Microsoft. NET platform, a three-tier architecture is constructed. Among them, the data access layer uses the functions of ADO. NET and. NET XML to realize the exchange of database information, provides services for the business logic layer, designs the motion correction module of the business logic layer, uses Kinect to extract the skeleton angle data characteristics of the trainer's training actions in the motion collection module, adopts the dynamic time planning algorithm to match the corresponding frames, calculates the training scores, realizes the reappearance of motion correction through the 3D reconstruction module, and finally displays the motion correction through the user interface layer. Experimental results show that the system can collect training action and mark the key points, the average score is 8 points, the corresponding frame is matched accurately, and the training action with very satisfactory (A) level reaches more than 90%.
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References
Li CY, Zhao Q, Herencsar N et al (2021) The design of mobile distance online education resource sharing from the perspective of man-machine cooperation. Mobile Netw Appl 30(4):1–2
Liu S, Wang S, Liu X et al (2021) Human Memory Update Strategy: A Multi-Layer Template Update Mechanism for Remote Visual Monitoring. IEEE Trans Multimed 23:2188–2198
Youcef D, Asma B, Gautam S et al (2021) Fast and Accurate Deep Learning Framework for Secure Fault Diagnosis in the Industrial Internet of Things. IEEE Internet Things J. https://doi.org/10.1109/JIOT.2021.3092275
Boonsong W, Adeleke O (2020) The aggressor alarm system embedded internet of things (iot) based on netpie cloud platform. Eur J Sci Res 155(2):194–201
Lin Y, Tu Y, Dou Z et al (2020) Contour stella image and deep learning for signal recognition in the physical layer. IEEE Trans Cogn Commun Netw 7(1):34–46
Lv M, Lian CW (2019) Design of sports competition assistant evaluation system based on big data and action recognition algorithm. Electron Design Eng 27(16):6–10
Liu J (2020) Design of Sports Assistant Training System Based on Virtual Reality Technology. Auto instr 16(01):93–96
Liu S, Wang S, Liu X et al (2021) Fuzzy Detection aided Real-time and Robust Visual Tracking under Complex Environments. IEEE Trans Fuzzy Syst 29(1):90–102
Yue T, Zou Y (2019) Online teaching system of sports training based on mobile multimedia communication platform. Intl J Mobile Comput Multimed Commun 10(1):32–48
Xiong, X. (2021). A new physical education teaching system and training framework based on human-computer interaction and assistant interaction. Intl J Emerg Tech Learn (iJET),16(14), 38.
Duan C (2021) Design of online volleyball remote teaching system based on ar technology. Alexandria Eng J 60(5):4299–4306
Myerholtz L, Baker HM, Rollins L, Page C (2020) Utilizing the f3app to capture learner feedback about faculty teaching. Family Med 52(4):262–269
Shuai L, Xinyu L, Shuai W et al (2021) Fuzzy-Aided Solution for Out-of-View Challenge in Visual Tracking under IoT Assisted Complex Environment. Neural Comput Appl 33(4):1055–1065
Cheng J, Wang X (2020) Artificial intelligence based on effectiveness of inverted classroom teaching of college sports. J Intell Fuzzy Syst 40(2):1–11
Shuai L, Dongye L, Gautam S et al (2021) Overview and methods of correlation filter algorithms in object tracking. Complex Intell Syst 7:1895–1917
Qi S, Li S, Zhang J (2021) Designing a teaching assistant system for physical education using web technology. Mobile Inf Syst 2021(6):1–11
Liang H (2021) Role of artificial intelligence algorithm for taekwondo teaching effect evaluation model. J Intell Fuzzy Syst 40(2):3239–3250
Akda DM, Smail AN, Ahn E (2021) The effect of blog-based teaching in 'assessment and evaluation' course on academic achievement. Participatory Educational Research 8(3):121–135
Asma B, Youcef D, Gautam S et al A Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories. IEEE Trans Intell Transport Syst 22(7):4496–4506
Liu S (2019) Introduction of Key Problems in Long-Distance Learning and Training. Mobile Netw Appl 24(1):1–4
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The authors have no relevant financial or non-financial interests to disclose. Chonggao Chen provided the algorithm and experimental results, wrote the manuscript, Dawid Połap revised the paper, supervised and analyzed the experiment. We also declare that data availability and ethics approval is not applicable in this paper. At present, this method can be applied in physical education teaching in colleges and universities, and it can provide good help for the correction of auxiliary physical education training movements.
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Chong-gao, C., Połap, D. Design of action correction assistant system in physical education teaching and training based on .NET platform. Mobile Netw Appl 27, 1228–1239 (2022). https://doi.org/10.1007/s11036-022-01941-7
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DOI: https://doi.org/10.1007/s11036-022-01941-7