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Updated: Jul 22, 2026

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优化可穿戴IMU配置用于运行步态分析:基于机器学习的传感器融合方法

Ye Yuan1, Yaohui Yu2, Shanshan Cai3

  • 1College of Physical Education, Xuzhou University of Technology, Xuzhou, Jiangsu, China.

Frontiers in bioengineering and biotechnology
|February 27, 2026
PubMed
概括

机器学习优化了可穿戴式传感器,将17个传感器网络减少到最小的3个传感器设置. 这种方法准确地捕捉了运行动态,为先进的可穿戴设备提供了具有成本效益的解决方案.

关键词:
机器学习是机器学习.随机森林回归随机森林回归运行行态分析 运行行态分析融合传感器 融合传感器 融合传感器可穿戴的IMU可以穿戴.

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