Zhu Qihang, Yang Chunxin, Ke Peng, Yang Han, Hong Ping
School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China.
School of Transportation Science and Engineering, Beihang University, Beijing 100191, China.
iScience. 2023 Nov 22;27(1):108513. doi: 10.1016/j.isci.2023.108513. eCollection 2024 Jan 19.
Accurate collection and analysis of ground reaction force (GRF) data are crucial for optimizing the technical movements of speed skaters; however, it has been a challenge for the limitations of experimental equipment and application scenarios. Therefore, we proposed a novel approach for estimating GRF based on kinematics obtained from markerless video tracking systems and achieved low errors compared with the experimental data. Our method allows for further biomechanical analysis, including muscle force and power, during speed skating competitions.
准确收集和分析地面反作用力(GRF)数据对于优化速滑运动员的技术动作至关重要;然而,由于实验设备和应用场景的限制,这一直是一个挑战。因此,我们提出了一种基于无标记视频跟踪系统获得的运动学来估计GRF的新方法,与实验数据相比误差较小。我们的方法允许在速滑比赛期间进行进一步的生物力学分析,包括肌肉力量和功率。