csi-vae dataset

<p>This dataset contains the data used in the paper &quot;Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data&quot; (FUSION 2023) and &quot;Learning to Sense: A Principled Approach to Wi-Fi Sensing Using Variational Auto-Encoders&quot; (submitted to IEEE Transactions on Mobile Computing).</p> <ul> <li><strong>latent_space_dataset.zip&nbsp;</strong>contains data already processed by the variational autoencoders</li> <li><strong>KERAS_models.zip</strong> contains the weights of the EDL/MLP models used in the FUSION paper</li> <li><strong>VAE_models.zip</strong> contains the weights of the VAE models</li> </ul> <p>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&nbsp;<strong>models_12activities.zip</strong></p> <p>&nbsp;</p>