Wi-Fi 6 802.11ax Channel State Information (CSI) Dataset for Indoor Tracking and Activity Recognition

This dataset contains channel state information (CSI) samples that were collected in an indoor office environment while human subjects were performing everyday activities (walking, sitting, working at a desk). The dataset was created to support joint communication and sensing applications that leverage the CSI for indoor tracking and/or activity recognition tasks.The content of the dataset consists in about 200 minutes of CSI collections capturing different levels of dynamic in the environment, raging from the empty room to a person walking around following a random trajectory. If you use this dataset, please cite it as one of the associated publications: A. Snezskaia, E. Tonini, R. Lo Cigno, G. Perin, "Energy-Efficient CSI-Based People Tracking with Spiking Neural Networks", Neuromorphic Physical Layer Signal Processing for Wireless Systems Workshop 2026 (NeuroPHY), Dresden, Germany, Sept. 2026