Machine learning as a tool to predict impact loading during over-ground distance running

被引：2
|
作者：
Derie R. [1 ]
Robberechts P. [2 ]
Van den Berghe P. [1 ]
Gerlo J. [1 ]
De Clercq D. [1 ]
Segers V. [1 ]
Davis J. [2 ]
机构：
[1] Department of Movement and Sports Sciences, Ghent University, Ghent
[2] Department of Computer Science, KU Leuven, Leuven
来源：
Footwear Science | 2019年 / 11卷 / sup1期
关键词：
acceleration; impact forces; machine learning; running; wearable sensors;
D O I：
10.1080/19424280.2019.1606085
中图分类号：
学科分类号：
摘要：
[No abstract available]
引用
收藏
页码：S74 / S75
页数：1
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