基于四元数的滑雪运动员姿态检测算法
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TP301

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国家自然科学基金(51775388);


Quaternion Based Pose Detection Algorithm for Skiers
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    摘要:

    针对滑雪运动员成绩评估时缺乏数据支撑的问题,提出了用于专业跳台滑雪运动员训练所需的姿态解算算法。该算法根据跳台滑雪运动特征,基于四元数解算姿态角,且利用Mahony算法进行了误差修正,实现了多维度参数获取跳台滑雪过程姿态的目标。MATLAB仿真和实验结果显示,该算法能够有效实现跳台滑雪运动员姿态检测,且数据处理方式简洁,结果可为滑雪运动员的训练及后期智能防护设备研究提供有效数据参考。

    Abstract:

    While targeting the issue of the lack of data support during the performance evaluation of skiers, an algorithm of attitude calculation required in the training of professional ski jumpers has been proposed. Considering the characteristics of the ski jumping, this algorithm calculates the attitude angle based on the quaternion and makes use of the Mahony algorithm for the error correction, realizing the goal of catching the attitudes during the ski jumping process with multidimensional parameters. The results of the MATLAB simulation experiment showed that this algorithm can effectively provide sensing of the attitudes of ski jumpers and the data processing method is simple and neat. It is concluded that it can provide valid reference data for the study on the training of skiers and the later research on intelligent protective devices.

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钟晓婉,匡军,韩冬桂,等. 基于四元数的滑雪运动员姿态检测算法[J]. 科学技术与工程, 2021, 21(24): 10376-10380.
Zhong Xiaowan, Kuang Jun, Han Donggui, et al. Quaternion Based Pose Detection Algorithm for Skiers[J]. Science Technology and Engineering,2021,21(24):10376-10380.

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历史
  • 收稿日期:2020-12-24
  • 最后修改日期:2021-05-26
  • 录用日期:2021-03-14
  • 在线发布日期: 2021-09-01
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