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...

Full description

Autores:

García-Restrepo, Johanna
Ariza Colpas, Paola Patricia
Oñate-Bowen, Alvaro Agustín
Suarez Brieva, Eydy
Urina-Triana, Miguel
De-La-Hoz-Franco, Emiro
Díaz-Martínez, Jorge Luis
Butt Shariq, Aziz
Molina Estren, Diego

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:11323/8691

Acceso en línea:

https://hdl.handle.net/11323/8691
https://doi.org/10.1016/j.procs.2021.07.069
https://repositorio.cuc.edu.co/

Palabra clave:

HAR
Human activity recognition
Machine learning
ADL
Activity daily living

Rights

openAccess

License

CC0 1.0 Universal