Open AccessStrategy to determine the foot plantar center of pressure of a person through deep learning neural networks
Author(s) -
Fredy Hernán Martínez Sarmiento,
Holman Montiel Ariza,
Luz Andrea Gaviria Roa
Publication year - 2020
Publication title -
telkomnika
Language(s) - English
Resource type - Journals
eISSN - 2302-9293
pISSN - 1693-6930
DOI - 10.12928/telkomnika.v18i4.15200
Subject(s) - computer science , gait cycle , plantar pressure , artificial neural network , displacement (psychology) , measure (data warehouse) , artificial intelligence , foot (prosody) , center of pressure (fluid mechanics) , gait , lower limb , deep learning , foot pressure , physical medicine and rehabilitation , machine learning , computer vision , data mining , medicine , pressure sensor , psychology , engineering , mechanical engineering , linguistics , philosophy , physics , surgery , kinematics , classical mechanics , aerodynamics , psychotherapist , aerospace engineering