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...
- 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