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

Autor: Oviedo-Carrascal Ana, Oñate-Bowen Alvaro Agustín, Ramayo González Ramón Enrique, Pineres-Melo Marlon, Carlos Andrés Collazos Morales, Butt Shariq Aziz, Ariza-Colpas Paola, Suarez-Brieva Eydy del Carmen, Urina Triana Miguel

Publikováno v: FNC/MobiSPC
Procedia Computer Science
Vol. 191, (2021)
REDICUC-Repositorio CUC
Corporación Universidad de la Costa
instacron:Corporación Universidad de la Costa
Repositorio Digital USB
Universidad Simón Bolívar
instacron:Universidad Simón Bolívar

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 r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::410f767ba5df36c9471ab0fa842aa0dc
https://doi.org/10.1016/j.procs.2021.07.070

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

Autor: Diaz-Martinez Jorge Luis, Suarez-Brieva Eydy del Carmen, Butt Shariq Aziz, Molina_Estren Diego, Urina-Triana Miguel, Oñate-Bowen Alvaro Agustín, De-La-Hoz-Franco Emiro, García-Restrepo Johanna, Ariza-Colpas Paola Patricia

Publikováno v: Procedia Computer Science
Vol. 191 (2021)
Repositorio Digital USB
Universidad Simón Bolívar
instacron:Universidad Simón Bolívar
REDICUC-Repositorio CUC
Corporación Universidad de la Costa
instacron:Corporación Universidad de la Costa
FNC/MobiSPC

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::572d124843908a77bba4481d3a4c620b
https://www.sciencedirect.com/science/article/pii/S1877050921014721?via=ihub