一个智能滑雪杆滑雪模式识别和量化应用程序的智能滑雪杆
Yangyanhao Guo1, Renjie Ju1, Kunru Li1
1Science and Technology on Electronic Test and Measurement Laboratory, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.
Sensors (Basel, Switzerland)
|August 29, 2024
概括
一个新的智能滑雪杆集成了负载单元和惯性测量单元 (IMU) 来跟踪滑雪者的技术. 这种创新的训练工具显著提高了越野滑雪行动识别的准确性,有助于提高运动员的表现.
科学领域:
- 运动科学 运动科学 运动科学
- 生物力学 生物力学
- 可穿戴技术可穿戴技术
背景情况:
- 滑雪杆对于越野滑雪技术和推进至关重要.
- 分析滑雪杆动力学为滑雪者的表现提供了洞察力.
- 目前的培训方法缺乏全面的实时数据反.
研究的目的:
- 开发一个智能滑雪杆系统,用于全面的数据采集.
- 通过动力学分析增强对滑雪技术的理解.
- 为滑雪运动员和教练创建一个有效的辅助训练工具.
主要方法:
- 在滑雪杆中集成了一个单轴负载单元和一个惯性测量单元 (IMU).
- 在双极运动过程中收集的动力学数据 (极力,角度,惯性).
- 使用t测试和斯皮尔曼相关性进行数据分析.
- 开发了一种动作识别算法,使用五种滑雪技术的传感器数据.
主要成果:
- 在滑雪者中观察到极力,角度和时间的显著差异.
- 极力和支角度与滑雪速度有很强的相关性.
- 智能滑雪杆系统在识别五种越野滑雪技巧时实现了99.5%的准确性.
结论:
- 智能滑雪杆为技术分析提供了有价值,全面的数据.
- 该系统在滑雪行动识别方面表现出高精度,超过现有系统.
- 这项技术为改善越野滑雪训练和表现提供了一个有前途的工具.
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