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Frontiers in Sport Research, 2025, 7(2); doi: 10.25236/FSR.2025.070211.

Aerobics Movement Visualisation Analysis Based on 3D Motion Capture System

Author(s)

Mei Hong1, Feng Yan2

Corresponding Author:
Feng Yan
Affiliation(s)

1Department of Teacher Education, Lishui University, Lishui, 323000, Zhejiang, China

2Department of Teacher Education, Lishui University, Lishui, 323000, Zhejiang, China

Abstract

With the continuous development of 3D motion capture technology, its application in the field of sports is increasingly widespread. In this paper, based on the 3D motion capture system, the visual analysis method of aerobics movements is studied. The basic principles of 3D motion capture technology and its application in aerobics training are introduced. This paper discusses in detail the acquisition and processing flow of aerobics movement data, including data preprocessing, noise removal and extraction of key features. A three-dimensional model-based aerobics movement visualisation and analysis system is designed and implemented, which is able to display the quality of athletes' movements in real time and assist coaches and athletes in movement evaluation and improvement. This paper analyses the potential applications of this technology in aerobics and other sports fields, and proposes future research directions. The results show that visual analysis based on 3D motion capture technology not only improves the accuracy of movement assessment, but also provides athletes with more intuitive and actionable training feedback.

Keywords

3D motion capture; aerobics; movement analysis; visualisation; movement assessment

Cite This Paper

Mei Hong, Feng Yan. Aerobics Movement Visualisation Analysis Based on 3D Motion Capture System. Frontiers in Sport Research (2025), Vol. 7, Issue 2: 68-75. https://doi.org/10.25236/FSR.2025.070211.

References

[1] Brigante C M N , Abbate N , Basile A ,et al.Towards Miniaturization of a MEMS-Based Wearable Motion Capture System[J].IEEE Transactions on Industrial Electronics, 2011, 58(8):3234-3241. DOI:10.1109/TIE.2011.2148671.

[2] Fairfield K , Stampfer M .Markerless motion capture can provide reliable 3D gait kinematics in the sagittal and frontal plane[J]. Medical Engineering & Physics, 2014, 36(9):1168-1175. DOI:10.1016/j.medengphy.2014.07.007.

[3] Arami A , Miehlbradt J , Aminian K .Accurate Internal-External Rotation Measurement in Total Knee Prostheses: a magnetic solution[J]. Journal of Biomechanics, 2012, 45(11):2023-2027. DOI:10.1016/j.jbiomech.2012.05.023.

[4] Lin Z , Uemura M , Zecca M ,et al.Objective Skill Evaluation for Laparoscopic Training Based on Motion Analysis[J].IEEE Transactions on Biomedical Engineering, 2013, 60(4):977-985. DOI:10.1109/TBME.2012.2230260.

[5] Weinhandl J T , Armstrong B S R , Kusik T P ,et al.Validation of a single camera three-dimensional motion tracking system[J]. Journal of Biomechanics, 2010, 43(7):1437-1440. DOI:10.1016/j.jbiomech.2009.12.025.

[6] Lee J G , Jung S J , Lee H J ,et al.Quantitative anatomical analysis of facial expression using a 3D motion capture system: Application to cosmetic surgery and facial recognition technology.[J].Clinical Anatomy, 2015, 28(6):735-744.DOI:10.1002/ca.22542.

[7] Huang H , Chai J , Tong X ,et al.Leveraging motion capture and 3D scanning for high-fidelity facial performance acquisition[J].Acm Transactions on Graphics, 2011, 30(4):1-10.DOI:10.1145/2010324.1964969.

[8] Yuan Q , Chen I M .3-D Localization of Human Based on an Inertial Capture System[J].IEEE Transactions on Robotics, 2013, 29(3):806-812.DOI:10.1109/TRO.2013.2248535.

[9] Ivo, Stancic,Ante,et al.Design, development and evaluation of optical motion-tracking system based on active white light markers[J].IET Science, Measurement & Technology, 2013, 7(4):206-214. DOI:10.1049/iet-smt.2012.0157.

[10] Li Q , Zhang J T .Post-trial anatomical frame alignment procedure for comparison of 3D joint angle measurement from magnetic/inertial measurement units and camera-based systems[J].Physiological Measurement, 2014, 35(11):2255-2268.DOI:10.1088/0967-3334/35/11/2255.

[11] Coll I , Mavor M P , Karakolis T ,et al.Validation of Markerless Motion Capture for Soldier Movement Patterns Assessment Under Varying Body-Borne Loads[J].Annals of Biomedical Engineering, 2025, 53(2):358-370.DOI:10.1007/s10439-024-03622-w.

[12] Li Z , Wang J , Zhang J ,et al.Cerebral hemorrhage caused by shaking adult syndrome? Evidence from biomechanical analysis using 3D motion capture and finite element models[J].International Journal of Legal Medicine, 2022, 136(6):1621-1636.DOI:10.1007/s00414-022-02878-y.