Determination of the most relevant features to improve the performance of RF classifier in human activity recognition

The impact that neurodegenerative diseases have in our society, have made human activity recognition (HAR) arise as a relevant field of study. The quality of life of people with such conditions, can be significantly improved with the outcomes of the projects within this area. The application of mach...

Full description

Autores:

Jiménez-Gómez, Geovanna
Navarro-Escorcia, Daniela
Neira Rodado, Dionicio
Cleland, Ian

Tipo de recurso:

Article of journal

Fecha de publicación:

2021

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/8843

Acceso en línea:

https://hdl.handle.net/11323/8843
https://repositorio.cuc.edu.co/

Palabra clave:

HAR
Machine learning
Feature selection
RF classifier

Rights

embargoedAccess

License

CC0 1.0 Universal