Estimation of Forces and Powers in Ergometer and Scull Rowing Based on Long Short-Term Memory Neural Networks

Estimation of Forces and Powers in Ergometer and Scull Rowing Based on Long Short-Term Memory Neural Networks

Analyzing performance in rowing, e.g., analyzing force and power output profiles produced either on ergometer or on boat, is a priority for trainers and athletes. The current state-of-the-art methodologies for rowing performance analysis involve the installation of dedicated instrumented equipment,...

Full description

Saved in:
Bibliographic Details
Main Authors: Lorenzo Pitto, Frédéric R. Simon, Geoffrey N. Ertel, Gérome C. Gauchard, Guillaume Mornieux
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
machine learning
rowing
IMU
kinetics
LSTM
Online Access:https://www.mdpi.com/1424-8220/25/1/279
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items