csi-vae dataset

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