Predictive model for the identification of activities of daily living (ADL) in indoor environments using classification techniques based on Machine Learning

AI-based techniques have included countless applications within the engineering field. These range from the automation of important procedures in Industry and companies, to the field of Process Control. Smart Home (SH) technology is designed to help house residents improve their daily activities and...

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Autores:
García-Restrepo, Johanna
Ariza-Colpas, Paola Patricia
Oñate-Bowen, Alvaro Agustín
Suarez-Brieva, Eydy del Carmen
Urina-Triana, Miguel
De-la-Hoz-Franco, Emiro
Díaz-Martínez, Jorge Luis
Butt, Shariq Aziz
Molina_Estren, Diego
Tipo de recurso:
Fecha de publicación:
2021
Institución:
Universidad Simón Bolívar
Repositorio:
Repositorio Digital USB
Idioma:
eng
OAI Identifier:
oai:bonga.unisimon.edu.co:20.500.12442/8604
Acceso en línea:
https://hdl.handle.net/20.500.12442/8604
https://doi.org/10.1016/j.procs.2021.07.069
https://www.sciencedirect.com/science/article/pii/S1877050921014721?via%3Dihub
Palabra clave:
HAR
Human Activity Recognition
Machine Learning
ADL
Activity Daily Living
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 Internacional