Machine Learning approach applied to Human Activity Recognition – An application to the VanKasteren dataset

Reminders are a core component of many assistive technology systems and are aimed specifically at helping people with dementia function more independently by compensating for cognitive deficits. These technologies are often utilized for prospective reminding, reminiscence, or within coaching-based s...

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Autores:
Ariza-Colpas, Paola
Oñate-Bowen, Alvaro Agustín
Suarez-Brieva, Eydy del Carmen
Oviedo-Carrascal, Ana
Urina Triana, Miguel
Piñeres-Melo, Marlon
Butt, Shariq Aziz,
Collazos Morales, Carlos Andrés
Ramayo González, Ramón Enrique
Tipo de recurso:
Fecha de publicación:
2021
Institución:
Universidad Simón Bolívar
Repositorio:
Repositorio Digital USB
Idioma:
eng
OAI Identifier:
oai:bonga.unisimon.edu.co:20.500.12442/8605
Acceso en línea:
https://hdl.handle.net/20.500.12442/8605
https://doi.org/10.1016/j.procs.2021.07.070
https://www.sciencedirect.com/science/article/pii/S1877050921014733?via%3Dihub
Palabra clave:
Machine learning
HAR
ADL
Human Activity Recognition
Activity Daily Living
VanKasteren Dataset
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 Internacional