Multi-Output Sequential Deep Learning Model for Athlete Force Prediction on a Treadmill Using 3D Markers

Multi-Output Sequential Deep Learning Model for Athlete Force Prediction on a Treadmill Using 3D Markers

Reliable and innovative methods for estimating forces are critical aspects of biomechanical sports research. Using them, athletes can improve their performance and technique and reduce the possibility of fractures and other injuries. For this purpose, throughout this project, we proceeded to researc...

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Bibliographic Details
Main Authors: Milton Osiel Candela-Leal, Erick Adrián Gutiérrez-Flores, Gerardo Presbítero-Espinosa, Akshay Sujatha-Ravindran, Ricardo Ambrocio Ramírez-Mendoza, Jorge de Jesús Lozoya-Santos, Mauricio Adolfo Ramírez-Moreno
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
biomechanics
artificial intelligence
deep learning
force prediction
treadmill
dataset
Online Access:https://www.mdpi.com/2076-3417/12/11/5424

Internet

https://www.mdpi.com/2076-3417/12/11/5424

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