Seeing Through Walls With WiFi and Counting People

Their research findings appeared in the 2018 IEEE PERCOMconference, as well as in their other related publications such as 2018 IEEE SECON and 2018 IEEE SAM.

In the team’s experiments, one WiFi transmitter and one WiFi receiver are behind walls, outside a room in which a number of people are present. The room can get very crowded with as many as 20 people zigzagging each other. The transmitter sends a wireless signal whose received signal strength (RSSI) is measured by the receiver. Using only such received signal power measurements, the receiver estimates how many people are inside the room — an estimate that closely matches the actual number. It is noteworthy that the researchers do not do any prior measurements or calibration in the area of interest; their approach has only a very short calibration phase that need not be done in the same area.

This development builds on previous work in the Mostofi Lab, which has pioneered sensing with everyday radio frequency signals such as WiFi, with several publications in this area since 2009. For instance, their 2015 paper showed crowd counting without relying on people to carry a device, but with the transmitter and receiver in the same area as the people.

“However, enabling through-wall crowd counting is considerably more challenging due to the high level of attenuation by the walls,” said Mostofi. Her lab’s success in this endeavor is due to the new proposed methodology they developed.

A WiFi transmitter and receiver are inserted outside of a classroom, behind the walls. We are interested in counting the total number of people in the room, from outside, based on only the received signal power measurements of this link, and without relying on people to carry a device.

Credit: Yasamin Mostofi, More information about the project can be found at https://www.ece.ucsb.edu/~ymostofi/ThroughWallCrowdCounting.html

Key to this technology is that human presence and movement can result in significant drops — thought of in this project as “events” — in the received signal strength.

“Consider the event sequence that corresponds to the occurrence of significant signal drops,” Mostofi said. “An inter-event time is then the time in between two consecutive events.” The researchers’ approach for enabling through-wall crowd counting is based on mathematically characterizing the information content of the received signal inter-event times, and relating it to the total number of occupants.

“We have observed that while the signal magnitude can be severely attenuated through walls, the inter-event times corresponding to the events of significant signal drops are more robust to wall attenuations,” Said Saandeep Depatla, the lead Ph.D. student on this project. Thus, the researchers’ approach is based on exploiting these inter-event times.

More specifically, by modeling the event sequence corresponding to the significant signal drops as a renewal-type process, the researchers have utilized mathematical tools from renewal process literature, a theoretical field that has found applications in areas such as reliability and risk analysis. After a long derivation, the researchers were able to mathematically model the statistics of the inter-event times and explicitly relate them to the total number of occupants in the area.

The Mostofi Lab has tested their new technology extensively, in different locations, with different wall properties and with several different numbers of people — up to and including 20. They showed a counting accuracy of 2 people or less 100 percent of the time with only one WiFi link. It is further noteworthy that their setup consists solely of off-the-shelf WiFi transceivers.

Contacts and sources:
Sonia Fernandez / Yasamin MostofiUniversity of California Santa Barbara