Individual Identity Verified Through Device-Free, WiFi Based Framework

Abstract

Researchers at the University of California, Davis have developed a device-free, WiFi based framework that can isolate individual identity, from a small group of users, simply by observing variations in WiFi signals through a user’s gait.

Full Description

There is a growing interest in equipping smart spaces, such as offices and homes, with the ability to track a user’s identity and activity without the aid of a smart device. Device-free identification, using WiFi technology, has shown great potential for its use in smart spaces and in its application in device-free monitoring (e.g. measuring steps taken, sleep patterns, etc.). However, these technologies and the related applications rely on the ability to correctly identify individual users which, until now, has remained unsolved.

Researchers at the University of California, Davis have developed a device-free, WiFi based framework that can isolate individual identity, from a small group of users, simply by observing variations in WiFi signals through a user’s walking gait. This technology leverages the ubiquitous nature of WiFi technology and can be implemented using off-the-shelf WiFi hardware.

Applications

• Personal identification of a user within a smart space such as a home or office

Features/Benefits

• Functions without the use of a smart device
• Does not require proactive action from the user (e.g. fingerprint scan, etc.)
• Recognizes a user’s unique gait and personal identity with the user walking only 2-3 meters

Patent Status