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Updated: Jun 28, 2025

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Home-Based Monitor for Gait and Activity Analysis
Published on: August 8, 2019
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提高高尔夫球摇摆跟踪的准确性和方便性,使用一个单一的惯性传感器
1Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, South Korea.
Scientific reports
|April 22, 2024
概括
这项研究提高了高尔夫球摇摆跟踪精度,使用手腕穿戴的惯性传感器. 新的方法减少定向和漂移错误,增强运动监控的体育和医疗保健应用.
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:
- 高尔夫球摇摆分析需要精确的轨迹跟踪.
- 佩戴在手腕上的惯性传感器提供了方便,但面临着方向和漂移的挑战.
- 现有的方法通常需要多个传感器或校准.
研究的目的:
- 为了提高高尔夫球摇摆轨迹的准确性,使用单个手腕穿戴的惯性传感器.
- 开发可靠的方位估计和漂移误差缓解方法.
- 用来自不同高尔夫球员和俱乐部的数据来验证拟议的技术.
主要方法:
- 从地址相信号中推算出传感器方向,使用卷积神经网络进行训练.
- 使用手腕速度限制和3D摆动平面对齐,减轻漂移误差.
- 收集了20名男性高尔夫球手使用驱动器和7-铁器收集的数据.
主要成果:
- 与基线相比,导向估计误差减少了大约60%.
- 漂移误差减少了一半,在所有摆动阶段实现了17厘米的跟踪性能.
- 性能与多式联络传感器方法相提并论.
结论:
- 拟议的信号处理方法有效地跟踪像高尔夫球摆动一样快速,广泛的运动.
- 这种方法提高了运动监控的用户方便性.
- 结果对医疗保健中的日常运动监测有影响,特别是可穿戴设备.
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