Gear Classification in Skating Cross-Country Skiing Using Inertial Sensors and Deep Learning

Gear Classification in Skating Cross-Country Skiing Using Inertial Sensors and Deep Learning

The aim of this current work is to identify three different gears of cross-country skiing utilizing embedded inertial measurement units and a suitable deep learning model. The cross-country style studied was the skating style during the uphill, which involved three different gears: symmetric gear pu...

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Bibliographic Details
Main Authors: Antonio Pousibet-Garrido, Aurora Polo-Rodríguez, Juan Antonio Moreno-Pérez, Isidoro Ruiz-García, Pablo Escobedo, Nuria López-Ruiz, Noel Marcen-Cinca, Javier Medina-Quero, Miguel Ángel Carvajal
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
Subjects:
inertial measurement unit (IMU)
deep learning
cross-country skiing
embedded system
Online Access:https://www.mdpi.com/1424-8220/24/19/6422
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