基于可穿戴惯性测量的滑雪运动员姿态测量与水平评估方法

运动量化分析是科学化滑雪训练的重要发展方向,而滑雪过程中人体运动模式的数字化表达是科学量化分析的基础和依据.设计并搭建了基于可穿戴MEMS惯性测量单元的人体运动捕捉与姿态重构系统,结合人体多刚体运动模型实现了滑雪过程的人体重构,并应用于高山滑雪运动中回转动作的辅助训练.同时,针对基于多自由度模拟滑雪训练平台的室内训练场景,提出了一种适用于滑雪回转运动的数字化评估方法.该方法利用动作捕捉系统和姿态重构系统提取滑行者五种滑行特征数据,并通过与高水平运动员运动参数的相似性度量和线性拟合实现对滑雪运动员技术参数的评估,以辅助科学训练.最后在室内Olymp模拟滑雪训练台上进行实验,验证了该方法的有效性.

A Method for Attitude Measurement and Level Evaluation of Skiers Based on Wearable Inertial Measurement

The movement quantitative analysis is an important development direction of scientific skiing training, and the digital expression of the human movement pattern in skiing is the foundation and basis of scientific quantitative analysis. In this paper, a human motion capture and posture reconstruction system based on wearable MEMS inertial measurement unit is designed and built, and the reconstruction of human body in skiing process by combining with the multi-rigid motion model of human body is realized, which has been applied to the assist training of the giant slalom in alpine skiing. In addition, aiming at the indoor training scene based on the multi-degree-of-freedom simulation ski training platform, a digital evaluation method suitable for skiing slewing movement is proposed, which extracts five sliding features of skiers with the motion capture and posture reconstruction system. The technical parameters of skiers can be evaluated by similarity measurement and linear fitting with the sports parameters of high level skiers, which can assist scientific training. Finally, the effectiveness of the proposed method is verified by experiments on an indoor Olymp simulated ski training platform.