Identification of Daily Activites and Environments Based on the AdaBoost Method Using Mobile Device Data

Using the AdaBoost method may increase the accuracy and reliability of a framework for daily activities and environment recognition. Mobile devices have several types of sensors, including motion, magnetic, and location sensors, that allow accurate identification of daily activities and environment....

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Detalhes bibliográficos
Autor principal: Ferreira, José M. (author)
Outros Autores: Pires, Ivan (author), Marques, Gonçalo (author), Garcia, Nuno M. (author), Zdravevski, Eftim (author), Lameski, Petre (author), Flórez-Revuelta, Francisco (author), Spinsante, Susanna (author)
Formato: article
Idioma:eng
Publicado em: 2020
Assuntos:
Daily activities recognition
Ensemble learning
Ensemble classifiers
Environments
Mobile devices
Sensors
Systematic review
Texto completo:http://hdl.handle.net/10400.6/8727
País:Portugal
Oai:oai:ubibliorum.ubi.pt:10400.6/8727

Texto Completo

http://hdl.handle.net/10400.6/8727

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