WiFi Sensing Technology Enables Person Identification Through Ordinary Networks
A new study reveals that everyday WiFi networks could double as powerful identification systems without requiring any special hardware or connected devices on the person being tracked.
The research demonstrates that the unencrypted signals constantly exchanged between WiFi devices and routers contain enough spatial and behavioral information to create radio-based profiles of individuals. By analyzing how these signals reflect off a person's body, the system can distinguish between different people with remarkable precision.
In controlled tests involving 197 participants, the technique achieved near-perfect identification accuracy. Notably, the system performed consistently regardless of the viewing angle and without being affected by variations in how individuals walk—a factor that typically challenges other identification methods.
The approach works passively, meaning the person being identified doesn't need to carry a smartphone, wear a special tag, or consciously interact with the network. This raises significant privacy questions about the increasing ubiquity of WiFi infrastructure in homes, offices, and public spaces.
While the technology has potential applications in security and smart building systems, experts note that it also represents a form of surveillance that could be difficult for individuals to detect or opt out of, given how thoroughly WiFi has permeated modern environments.