Comparing Sampling Strategies for Tackling Imbalanced Data in Human Activity Recognition

Human activity recognition (HAR) using wearable sensors is an increasingly active research topic in machine learning, aided in part by the ready availability of detailed motion capture data from smartphones, fitness trackers, and smartwatches. The goal of HAR is to use such devices to assist users i...

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Detalles Bibliográficos
Autores principales: Alharbi, Fayez, Ouarbya, Lahcen, Ward, Jamie A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963022/
https://www.ncbi.nlm.nih.gov/pubmed/35214275
http://dx.doi.org/10.3390/s22041373

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963022/
https://www.ncbi.nlm.nih.gov/pubmed/35214275
http://dx.doi.org/10.3390/s22041373

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