PREDICTION OF GAIT KINEMATICS WITH INERTIAL SENSORS USING MACHINE LEARNING ALGORITHMS

dc.contributor.author	Real Sánchez, Daniel
dc.date.accessioned	2023-11-02T19:00:03Z
dc.date.available	2023-11-02T19:00:03Z
dc.date.issued	2023-10-31
dc.identifier.uri	https://hdl.handle.net/10115/25449
dc.description	Trabajo Fin de Grado leído en la Universidad Rey Juan Carlos en el curso académico 2023/2024. Directores/as: David Casillas Pérez, Sara García De Villa
dc.description.abstract	Prediction of gait kinematics with inertial sensors using machine learning algorithms. Optimization of number of sensors and their position. Checking extrapolability of models to unknown inertial data.
dc.language.iso	eng
dc.publisher	Universidad Rey Juan Carlos
dc.rights	Creative Commons Atribución 4.0 Internacional
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/legalcode
dc.subject	IMU
dc.subject	sensor
dc.subject	ML
dc.subject	IA
dc.subject	SVR
dc.subject	Treebagger
dc.subject	RMSE
dc.subject	MLP
dc.title	PREDICTION OF GAIT KINEMATICS WITH INERTIAL SENSORS USING MACHINE LEARNING ALGORITHMS
dc.type	info:eu-repo/semantics/studentThesis
dc.rights.accessRights	info:eu-repo/semantics/openAccess

Except where otherwise noted, this item's license is described as Creative Commons Atribución 4.0 Internacional