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Development and Evaluation of a Low-Drift Inertial Sensor-Based System for Analysis of Alpine Skiing Performance

机译:高漂移惯性传感器的分析分析高漂移惯性传感器系统的开发与评价

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摘要

In skiing it is important to know how the skier accelerates and inclines the skis during the turn to avoid injuries and improve technique. The purpose of this pilot study with three participants was to develop and evaluate a compact, wireless, and low-cost system for detecting the inclination and acceleration of skis in the field based on inertial measurement units (IMU). To that end, a commercial IMU board was placed on each ski behind the skier boot. With the use of an attitude and heading reference system algorithm included in the sensor board, the orientation and attitude data of the skis were obtained (roll, pitch, and yaw) by IMU sensor data fusion. Results demonstrate that the proposed IMU-based system can provide reliable low-drifted data up to 11 min of continuous usage in the worst case. Inertial angle data from the IMU-based system were compared with the data collected by a video-based 3D-kinematic reference system to evaluate its operation in terms of data correlation and system performance. Correlation coefficients between 0.889 (roll) and 0.991 (yaw) were obtained. Mean biases from −1.13° (roll) to 0.44° (yaw) and 95% limits of agreements from 2.87° (yaw) to 6.27° (roll) were calculated for the 1-min trials. Although low mean biases were achieved, some limitations arose in the system precision for pitch and roll estimations that could be due to the low sampling rate allowed by the sensor data fusion algorithm and the initial zeroing of the gyroscope.
机译:在滑雪重要的是要知道如何滑雪者的加速以及转弯时倾斜的滑雪板,以避免受伤和提高技术。与三个参与者这个试验性研究的目的是开发和基于惯性测量单元(IMU)检测在该领域的滑雪板的倾斜和加速度评估一个紧凑的,无线的,并且低成本的系统。为此,商业IMU板被放置在滑雪者引导后面的每个滑雪。与使用的姿态的航向参考系统算法包括在传感器板中,通过IMU传感器数据融合而获得(滚动,俯仰和偏转)的滑雪板的方向和姿态数据。在最坏的情况下的结果表明,所提出的基于IMU的系统可以提供可靠的低漂移数据直到连续使用11分钟。从基于IMU的系统的惯性角数据与基于视频的3D-运动学参考系统收集的数据关联和系统性能方面以评估其操作的数据进行比较。得到0.889之间(辊)和0.991(偏航)的相关系数。计算为1分钟试验从-1.13°(辊)至0.44°(偏航),并从2.87协定的95个%限度°(偏航),以6.27°(辊)平均偏差。虽然低平均偏差得以实现,有一些限制产生于系统精度的俯仰和滚动估计这可能是由于由传感器数据融合算法和陀螺仪的初始清零允许的低采样速率。

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