Automatic Sensor-Based Detection and Classification of Climbing Activities

Boulanger Jeremie; Seifert Ludovic; Herault Romain; Coeurjolly Jean-Francois

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Automatic Sensor-Based Detection and Classification of Climbing Activities

机译：基于传感器的自动攀爬活动检测和分类

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This paper presents a novel application of a machine learning method to automatically detect and classify climbing activities using inertial measurement units (IMUs) attached to the wrists, feet, and pelvis of the climber. This detection/classification can be useful for research in sport science to replace manual annotation where IMUs are becoming common. Detection requires a learning phase with manual annotation to construct statistical models. Full-body activity is then classified based on the detection of each IMU.

机译：本文介绍了一种机器学习方法的新颖应用，该方法使用附着在登山者手腕，脚和骨盆上的惯性测量单元（IMU）自动检测和分类登山活动。这种检测/分类对于运动科学研究而言，在惯常使用IMU的情况下代替人工标注非常有用。检测需要一个带有手动注释的学习阶段，以构建统计模型。然后根据每个IMU的检测结果对全身活动进行分类。

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来源
《Sensors Journal, IEEE》 |2016年第3期|742-749|共8页
作者
Boulanger Jeremie; Seifert Ludovic; Herault Romain; Coeurjolly Jean-Francois;
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作者单位

University of Rouen and the University of Lille 1 (CRISTAL), Villeneuve-d’Ascq, France;

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原文格式 PDF
正文语种 eng
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关键词
Inertial measurement units; classification; climbing; detection; exploration; sport science;

机译：惯性测量单位分类攀爬检测探测体育科学;

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机译：基于传感器的自动检测和爬坡活动分类

Automatic Sensor-Based Detection and Classification of Climbing Activities

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