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A dataset for Wi-Fi-based human activity recognition in line-of-sight and non-line-of-sight indoor environments
2020
Data in Brief
The aim of this paper is to present a dataset for Wi-Fi-based human activity recognition. The dataset is comprised of five experiments performed by 30 different subjects in three different indoor environments. The experiments performed in the first two environments are of a line-of-sight (LOS) nature, while the experiments performed in the third environment are of a non-line-of-sight (NLOS) nature. Each subject performed 20 trials for each of the experiments which makes the overall number of
doi:10.1016/j.dib.2020.106534
pmid:33299909
pmcid:PMC7704290
fatcat:ozi77tjbfzgjzi7h4yyduhqo6a