Influence of SSM-based skiing biomechanical analysis on tourist travel experience

  • Nian Liu Department of Convergence Management, Corporate Management Major, Woosong University, Daejeon 34606, South Korea
  • Runchu Fu Woosong University, Daejeon 34606, South Korea
  • Tianchi Fu Woosong University, Daejeon 34606, South Korea
Keywords: statistical shape model; skiing; biomechanical analysis; tourism experience; ankle joint
Article ID: 1586

Abstract

Skiing, as a popular winter sport, attracts a large number of tourists to ski resorts for an immersive experience. To improve tourists’ travel experience and ensure their safety, this study proposes a skiing biomechanical analysis method based on the Statistical Shape Model. The study conducts 3D reverse modeling of tourists’ ankle joints and constructs mechanical models for the talus and calcaneus. Finally, the model is used to analyze the impact of ankle joint morphology on the axis of rotation. Experimental results show that among the three indicators in the evaluation of the Statistical Shape Model, the compactness of the talus increases from 29,800 to 41,500, and the calcaneus increases from 39,800 to 64,700. The generalization value of the talus decreases from 97,800 to 93,400, and the calcaneus decreases from 116,900 to 111,500. After the statistical shape model of the improved skiing equipment, the tourist experience satisfaction is more than 85%. The results indicate that the morphology of the talus and calcaneus significantly affects the axis of rotation. By analyzing the biomechanics of tourists’ ankle joints during skiing, a deeper understanding of the mechanical characteristics in skiing is obtained, providing a theoretical basis for optimizing tourists’ travel experience. The morphological features of the ankle joint directly impact tourists’ balance and stability during skiing, thereby influencing both the safety and enjoyment of the sport.

References

1. Cao Y, He J, Chen X, et al. The impact of ankle movements on venous return flow: A comparative study. Phlebology: The Journal of Venous Disease. 2024; 39(10): 676-682. doi: 10.1177/02683555241264914

2. Toda H, Kawamoto H. Device Design of Ankle Joint Stretching System Controlled by the Healthy Side Ankle Joint Movement for Self-Rehabilitation. Journal of Robotics and Mechatronics. 2023; 35(3): 556-564. doi: 10.20965/jrm.2023.p0556

3. Shi X, Cao Z, Ganderton C, et al. Ankle proprioception in table tennis players: Expertise and sport-specific dual task effects. Journal of Science and Medicine in Sport. 2023; 26(8): 429-433. doi: 10.1016/j.jsams.2023.06.010

4. Reynolds RF, Liedtke AM, Lakie M. Intrinsic ankle stiffness is associated with paradoxical calf muscle movement but not postural sway or age. Experimental Physiology. 2024; 109(5): 729-737. doi: 10.1113/ep091660

5. Li Y, Wang Z, Shen Y, et al. Differences in Cortical Activation During Dorsiflexion and Plantarflexion in Chronic Ankle Instability: A Task-fMRI Study. Clinical Orthopaedics & Related Research. 2023; 482(5): 814-826. doi: 10.1097/corr.0000000000002903

6. Han S, Lee H, Son SJ, et al. Effect of varied dorsiflexion range of motion on landing biomechanics in chronic ankle instability. Scandinavian Journal of Medicine & Science in Sports. 2023; 33(7): 1125-1134. doi: 10.1111/sms.14339

7. Liu T, Dimitrov A, Jomha N, et al. Development and validation of a novel ankle joint musculoskeletal model. Medical & Biological Engineering & Computing. 2024; 62(5): 1395-1407. doi: 10.1007/s11517-023-03010-x

8. Cai X, Wu Y, Huang J, et al. Application of statistical shape models in orthopedics: a narrative review. Intelligent Medicine. 2024; 4(4): 249-255. doi: 10.1016/j.imed.2024.05.001

9. Trentadue TP, Thoreson A, Lopez C, et al. Morphology of the scaphotrapeziotrapezoid joint: A multi‐domain statistical shape modeling approach. Journal of Orthopaedic Research. 2024; 42(11): 2562-2574. doi: 10.1002/jor.25918

10. Chollet M, Hintzy F, Cross MR, et al. Fatigue-induced alterations in force production, trajectory and performance in alpine skiing. Journal of Sports Sciences. 2024; 42(20): 1904-1915. doi: 10.1080/02640414.2024.2414362

11. Nguyen TT, Nguyen QD, Ha MQ, et al. The Development of a Motion-Tracking System to Assess the Recovery Level for Stroke Survivors. Acta Polytechnica Hungarica. 2024; 21(9): 9-28. doi: 10.12700/aph.21.9.2024.9.2

12. Romero-Flores CF, Bustamante-Bello R, Moya Bencomo M, et al. Optical Marker-Based Motion Capture of the Human Spine: A Scoping Review of Study Design and Outcomes. Annals of Biomedical Engineering. 2024; 52(9): 2373-2387. doi: 10.1007/s10439-024-03567-0

13. Lugrís U, Pérez-Soto M, Michaud F, et al. Human motion capture, reconstruction, and musculoskeletal analysis in real time. Multibody System Dynamics. 2023; 60(1): 3-25. doi: 10.1007/s11044-023-09938-0

14. Sakai R, Kenmoku T, Tazawa R, et al. Stresses in the Scapular Fossa Do Not Exceed the Yield Stress When Elevated up to 135 Degrees of Abduction after Reverse Shoulder Arthroplasty. Journal of Biomedical Science and Engineering. 2024; 17(02): 35-40. doi: 10.4236/jbise.2024.172003

15. Kolac UC, Paksoy A, Akgün D. Three-dimensional planning, navigation, patient-specific instrumentation and mixed reality in shoulder arthroplasty: a digital orthopedic renaissance. EFORT Open Reviews. 2024; 9(6): 517-527. doi: 10.1530/eor-23-0200

16. Anderson DD, Ledoux WR, Lenz AL, et al. Ankle osteoarthritis: Toward new understanding and opportunities for prevention and intervention. Journal of Orthopaedic Research. 2024; 42(12): 2613-2622. doi: 10.1002/jor.25973

17. Daneshvarhashjin N, Debeer P, Innocenti B, et al. Covariations between scapular shape and bone density in B‐glenoids: A statistical shape and density modeling‐approach. Journal of Orthopaedic Research. 2023; 42(5): 923-933. doi: 10.1002/jor.25747

18. Tran VD, Vo PP, Tran NLN, et al. A statistical shape modelling method for predicting the human head from the face. International Journal of Biomedical Engineering and Technology. 2024; 46(1): 1-26. doi: 10.1504/ijbet.2024.140689

19. Huang M, Yu B, Li Y, et al. Biomechanics of calcaneus impacted by talus: a dynamic finite element analysis. Computer Methods in Biomechanics and Biomedical Engineering. 2023; 27(7): 897-904. doi: 10.1080/10255842.2023.2213369

20. Burton W, Myers C, Stefanovic M, et al. Scan-Free and Fully Automatic Tracking of Native Knee Anatomy from Dynamic Stereo-Radiography with Statistical Shape and Intensity Models. Annals of Biomedical Engineering. 2024; 52(6): 1591-1603. doi: 10.1007/s10439-024-03473-5

Published
2025-03-12
How to Cite
Liu, N., Fu, R., & Fu, T. (2025). Influence of SSM-based skiing biomechanical analysis on tourist travel experience. Molecular & Cellular Biomechanics, 22(4), 1586. https://doi.org/10.62617/mcb1586
Section
Article