Published August 11, 2023
| Version 2.0
Dataset
Open
csi-vae dataset
Authors/Creators
- 1. Dept. of Information Engineering (DII), University of Brescia
Description
This dataset contains the data used in the paper "Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data" (FUSION 2023) and "Learning to Sense: A Principled Approach to Wi-Fi Sensing Using Variational Auto-Encoders" (submitted to IEEE Transactions on Mobile Computing).
- latent_space_dataset.zip contains data already processed by the variational autoencoders
- KERAS_models.zip contains the weights of the EDL/MLP models used in the FUSION paper
- VAE_models.zip contains the weights of the VAE models
Version 1.0 includes the data from 5 activities used in our FUSION 2023 paper. Version 2.0 also includes the data from 12 different activities and the weights of different classifiers in models_12activities.zip
Files
KERAS_models.zip
Files
(1.1 GB)
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