Abstract
With the vigorous development of marathon, running has been favored by people. While running brings people health, joint injury is also a major hidden danger in this sport. In order to study the characteristics of the joints of the lower limbs of the human body including the joint angle and joint torque during running, especially the effect of running speed on the above mechanical characteristics, this paper recruited 20 testers to complete periodic running at a running speed of 6 km/s–14 km/s. The Functional Assessment of Biomechanics System (FAB system) was used to collect kinematics and dynamic parameter data. On basis of the seven-body rigid body model, the Lagrangian method was used to establish the dynamic model of the human lower limbs to obtain the joint moments of the various links of the lower limbs. Through the above model and combined with experimental research, this paper concludes: running speed has different effects on hip, knee, and ankle flexion angles and extension angles. From the perspective of joint torque, the hip and ankle joints of the human lower limbs are significantly affected by the changes in running speed during running and are prone to injury. For runners, running performance can be improved by increasing swing leg torque and reducing swing leg inertia. This research has guiding significance for improving athletes’ level, designing and improving sports equipment and developing exoskeleton robots.
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References
Ma, X.H.: Body eleven rigid body biomechanical model and biomechanical study of running exercise. Harbin Engineering University (2018)
Passmore, E., Sangeux, M.: Improving repeatability of setting volume origin and coordinate system for 3D gait analysis. J. Gait Posture 39(2), 831–833 (2014)
Xue, Y. X.: Lower limb rehabilitation training evaluation method based on gait analysis. Guangdong University of Technology (2019)
Armand, S., Sangeux, M., Baker, R.: Optimal markers’ placement on the thorax for clinical gait analysis. Gait Posture 39(1), 147–153 (2014)
Zhou, H., Hu, H.: Upper limb motion estimation from inertial measurements. Int. J. Inf. Technol. 13(1), 1–14 (2007)
Maenaka, K.: MEMS inertial sensors and their applications. In: Source: Proceedings of INSS 2008-5th International Conference on Networked Sensing Systems, pp. 71–73 (2008)
Chandra, P., Kanika, G., Anshul, M., Rajesh, K., Vijay, L.: Passive marker based optical system for gait kinematics for lower extremity. Proc. Comput. Sci. 45 (2015)
Kim, J.N., Ryu, M.H., Yang, Y.S., et al.: Detection of gait event and supporting leg during overground walking with mediolateral swing angle. Appl. Mech. Mater. 145, 567–573 (2011)
Ferrari, A., Rocchi, L., Noort, J.V.D., et al.: Toward the use of wearable inertial sensors to train gait in subjects with movement disorders. In: Converging Clinical and Engineering Research on Neurorehabilitation, pp. 937–940. Springer, Heidelberg (2013)
Perry, J., Burnfield, J.M., Cabico, L.M.: Gait analysis: normal and pathological function. Slack (2010)
Song, L.M.: Study on biological factors of gait stability. Tianjin University of Science and Technology (2017)
Wu, J.M., Liu, Y.Y., Zhu, C.G., Zhang, X.L.: Multilevel integro cubic spline quasi-interpolation. J. Image Graph. 22(03), 327–333 (2017)
Zhu, Z.H., Sun, J.H., Wang, W.S., Li, N., He, H.: Study of wavelet threshold de-noising algorithm based on Grubbs rule. Northwest Hydropower (s1), 45–48 (2011)
Acknowledgment
This work is supported by Major Science and Technology Innovation project of Shandong Province (2019JZZY020703), Science and Technology Support Plan for Youth Innovation in Universities of Shandong Province (2019KJB014), PhD Startup Fund of Shandong Jiaotong University (BS2019020) and Shandong Jiaotong University “Climbing” Research innovation Team Program (SDJTUC1805).
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Zhao, L., Zhang, S., Yu, L., Zhong, K., Guan, Z. (2021). Experimental Study on Mechanical Characteristics of Lower Limb Joints During Human Running. In: Liu, Q., Liu, X., Shen, T., Qiu, X. (eds) The 10th International Conference on Computer Engineering and Networks. CENet 2020. Advances in Intelligent Systems and Computing, vol 1274. Springer, Singapore. https://doi.org/10.1007/978-981-15-8462-6_192
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DOI: https://doi.org/10.1007/978-981-15-8462-6_192
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