Limb motion mechanics analysis of Taijiquan trainees combined with APAS image analysis system
Abstract
Analyzing the motion mechanics of Taijiquan trainees’ limbs can help trainees better understand the mechanics of Taijiquan movement and improve their training speed. However, all the current motion mechanics analysis models still have the disadvantage of poor motion mechanics analysis due to inaccurate motion image feature extraction. Therefore, this study utilizes the Ariel performance analysis system and temporal-difference to construct a motion mechanics analysis model to extract motion image features of Taijiquan and analyze its motion mechanics. analysis. The study first experimented with this analysis model. The outcomes indicated that the model achieved 100% accuracy in the extraction of image feature information and 100% accuracy in the analysis of motion mechanics, which was much higher than the comparative analysis model. The model was then used to analyze the motion mechanics of Taijiquan trainees during bending and squatting posture. The results revealed that the larger the knee fixation angle was, the shorter the completion time of the movement was. When the knee fixation angle was 150°, the time taken to complete the starting, fixing and finishing phases of the movement was 11.21 s, 61.21 s and 12.32 s respectively. Moreover, when the trainees performed the movement, the angle of the trainee’s right knee changed gently in the starting phase, while the angle of the trainee’s left knee changed more drastically. In summary, the motion mechanics analysis model proposed in the study is able to accurately analyze the limb motion mechanics of Taijiquan trainees as a means of avoiding various injuries during training.
References
1. Nichol B, Wilson R, Rodrigues A, Haighton C. Exploring the effects of volunteering on the social, mental, and physical health and well-being of volunteers: an umbrella review. Voluntas: international journal of voluntary and nonprofit organizations, 2024, 35(1): 97-128.
2. Tamayo-Vegas S, Muhsan A, Liu C. The effect of agglomeration on the electrical and mechanical properties of polymer matrix nanocomposites reinforced with carbon nanotubes. Polymers, 2022, 14(9): 1842-1853.
3. Ghadai R K, Das S, Kalita K. Structural and mechanical analysis of APCVD deposited diamond-like carbon thin films. Silicon, 2021, 13(12): 4453-4462.
4. Rentería-Baltiérrez F Y, Reyes-Melo M E, Puente-Córdova J G, et al. Application of fractional calculus in the mechanical and dielectric correlation model of hybrid polymer films with different average molecular weight matrices. Polymer Bulletin, 2023, 80(6): 6327-6347.
5. Wang P, Yin Z Y, Hicher P Y, Cui YJ. Micro‐mechanical analysis of one‐dimensional compression of clay with DEM. International Journal for Numerical and Analytical Methods in Geomechanics, 2023, 47(15): 2706-2724.
6. Raj R, Dixit A R, Łukaszewski K, Wichniarek R, Rybarczyk J, Kuczko W, Górski F. Numerical and experimental mechanical analysis of additively manufactured ankle–foot orthoses. Materials, 2022, 15(17): 6130-6142.
7. Bandinelli F, Scapin M, Peroni L. Effects of anisotropy and infill pattern on compression properties of 3D printed CFRP: mechanical analysis and elasto-plastic finite element modelling. Rapid Prototyping Journal, 2024, 30(11): 142-158.
8. Bashir M A. Use of dynamic mechanical analysis (DMA) for characterizing interfacial interactions in filled polymers. Solids, 2021, 2(1): 108-120.
9. Pal S, Roy A, Shivakumara P, Pal U. Adapting a Swin Transformer for License Plate Number and Text Detection in Drone Images. Artificial Intelligence and Applications, 2023, 1(3), 145-154.
10. Kokori A, Tsiaras A, Edwards B, Rocchetto M, Tinetti G, Wünsche A, Tomatis A. ExoClock project: an open platform for monitoring the ephemerides of Ariel targets with contributions from the public. Experimental Astronomy, 2022, 53(2): 547-588.
11. Morgante G, Terenzi L, Desjonqueres L, Eccleston P, Bishop G, Caldwell A, Micela G. The thermal architecture of the ESA ARIEL payload at the end of phase B1. Experimental Astronomy, 2022, 53(2): 905-944.
12. Miranda-Oliveira P, Branco M, Fernandes O J, Santos-Rocha R. Comparison of the accuracy of a free 3D camera system with the Ariel performance system. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2021, 9(6): 670-677.
13. Xing Y, Song Q, Cheng G. Benefit of interpolation in nearest neighbor algorithms. SIAM Journal on Mathematics of Data Science, 2022, 4(2): 935-956.
14. Amo R, Matias S, Yamanaka A, Tanaka K F, Uchida N, Watabe-Uchida M. A gradual temporal shift of dopamine responses mirrors the progression of temporal difference error in machine learning. Nature neuroscience, 2022, 25(8): 1082-1092.
15. Li Q, Lu Y, Luo Q, Yang X, Yang Y, Tan J. Thermodynamics and kinetics of hydriding and dehydriding reactions in Mg-based hydrogen storage materials. Journal of Magnesium and Alloys, 2021, 9(6): 1922-1941.
16. Bozdarov J, Jones B D M, Daskalakis Z J, Husain M I. Boxing as an intervention in mental health: A scoping review. American Journal of Lifestyle Medicine, 2023, 17(4): 589-600.
17. Domingos J, De Lima A L S, Steenbakkers-Van Der Pol T, et al. Boxing with and without kicking techniques for people with Parkinson’s disease: AN explorative pilot randomized controlled trial. Journal of Parkinson’s Disease, 2022, 12(8): 2585-2593.
18. Yu Z, Shen Y, Shi J, et al. Physformer++: Facial video-based physiological measurement with slowfast temporal difference transformer. International Journal of Computer Vision, 2023, 131(6): 1307-1330.
19. Mastalerz A, Sadowski J. Variability of Performance and Kinematics of Different Shot Put Techniques in Elite and Sub-Elite Athletes–A Preliminary Study. International journal of environmental research and public health, 2022, 19(3): 1751-1765.
20. Eckhaus E, Davidovitch N. Academic Rank and Position Effect on Academic Research Output--A Case Study of Ariel University. International Journal of Higher Education, 2021, 10(1): 295-307.
Copyright (c) 2024 Jimeng Yan, Zhihang Sun
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright on all articles published in this journal is retained by the author(s), while the author(s) grant the publisher as the original publisher to publish the article.
Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International, which means they can be shared, adapted and distributed provided that the original published version is cited.
Submit a Paper
