CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels

The dataset provides data for developing wireless sensing applications -- namely activity recognition, people identification and people counting -- leveraging Wi-Fi devices. The data is collected when the person/people move with the propagation environment. The human movements cause modifications to the multi-path propagation of Wi-Fi signals that reflect on the channel frequency response and, in turn, are identifiable by analyzing the channel readings.The dataset consists of Wi-Fi channel readings for up to seven activities and ten people. The dataset is collected via a monitor router implementing the Nexmon CSI tool that estimates the channel frequency response of ongoing Wi-Fi transmissions. The monitored traffic is generated by an IEEE 802.11ac-enabled Wi-Fi router that transmits data to a receiving device using an 80 MHz bandwidth channel. The data is collected in seven different environments, i.e., a bedroom, a living room, a kitchen, a university laboratory, a university office, a semi-anechoic chamber and a meeting room. Different respective positions and different hardware for the transmitter, receiver and monitor are considered to increase the domain diversity in the dataset. The dataset aims to provide a common ground truth for the development and comparison of wireless sensing solutions based on Wi-Fi. Overall, the dataset contains more than 13 hours of CSI recordings (for a total of 23.6 GB) among which 6 hours are for activity recognition, and 3 hours and a half are for people identification and people counting each.