Automatic Sensor-Based Detection and Classification of Climbing Activities

作者：Boulanger Jeremie; Seifert Ludovic; Herault Romain; Coeurjolly Jean Francois^*

来源：IEEE Sensors Journal, 2016, 16(3): 742-749.

DOI：10.1109/JSEN.2015.2481511

• Inertial measurement units
• climbing
• detection
• classification
• sport science
• exploration

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.

• 出版日期2016-2