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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| 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 |