CSIDA (CSI Dataset for Activities) is a publicly available benchmark dataset designed to support research in CSI-based Wi-Fi human activity recognition, providing labeled Channel State Information samples collected across controlled environments to facilitate model training and evaluation. It matters for the field because it offers a standardized reference for comparing sensing algorithms, contributing to reproducibility efforts in Wi-Fi sensing research where dataset consistency and accessibility are persistent challenges. Like other datasets in this domain, it may include variants across different hardware configurations, environments, or subcarrier resolutions, though it is distinguished from multi-user benchmarks such as WiMANS by its focus on single-user activity scenarios.

Source Papers

  • A survey on CSI-based Wi-Fi sensing datasets and models with a focus on reproducibility — A survey on CSI-based Wi-Fi sensing datasets and models with
  • WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activity Sensing — WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activi