Evaluating the Impact of a Two-Stage Multivariate Data Cleansing Approach to Improve to the Performance of Machine Learning Classifiers: A Case Study in Human Activity Recognition

Human activity recognition (HAR) is a popular field of study. The outcomes of the projects in this area have the potential to impact on the quality of life of people with conditions such as dementia. HAR is focused primarily on applying machine learning classifiers on data from low level sensors suc...

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Detalles Bibliográficos
Autores principales: Neira-Rodado, Dionicio, Nugent, Chris, Cleland, Ian, Velasquez, Javier, Viloria, Amelec
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180455/
https://www.ncbi.nlm.nih.gov/pubmed/32230844
http://dx.doi.org/10.3390/s20071858

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180455/
https://www.ncbi.nlm.nih.gov/pubmed/32230844
http://dx.doi.org/10.3390/s20071858

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