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). <strong>latent_space_dataset.zip </strong>contains data already processed by the variational autoencoders <strong>KERAS_models.zip</strong> contains the weights of the EDL/MLP models used in the FUSION paper <strong>VAE_models.zip</strong> 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 <strong>models_12activities.zip</strong>