A Cascade Ensemble Learning Model for Human Activity Recognition with Smartphones

Human activity recognition (HAR) has gained lots of attention in recent years due to its high demand in different domains. In this paper, a novel HAR system based on a cascade ensemble learning (CELearning) model is proposed. Each layer of the proposed model is comprised of Extremely Gradient Boosti...

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Detalles Bibliográficos
Autores principales: Xu, Shoujiang, Tang, Qingfeng, Jin, Linpeng, Pan, Zhigeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566970/
https://www.ncbi.nlm.nih.gov/pubmed/31109126
http://dx.doi.org/10.3390/s19102307

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566970/
https://www.ncbi.nlm.nih.gov/pubmed/31109126
http://dx.doi.org/10.3390/s19102307

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