A Benchmark Dataset for Radio Signal Image-based Person Re-Identification

The Wi-PER81 dataset can be used to develop radio-based person Re-ID systems using Wi-Fi signal data. This collection consists of Wi-Fi signal acquisitions influenced by 81 distinct volunteers, categorized into 59 males and 22 females, with ages estimated to range from 18 to 65 years and heterogeneous body types. Each participant contributed to two separate acquisition sessions, resulting in a collective total of 162 signals. Specifically, 1,000 data packets describing the influenced Wi-Fi signal were collected within each session, totaling 162,000 wireless packets for the entire collection. The dataset contains the CSI measurements, extracted raw and sanitized amplitude values for the 52 data subcarriers, and corresponding signal magnitude heatmaps for each acquisition.