Device-Free Human Identification System

Tech ID: 29291 / UC Case 2018-132-0

Patent Status

Country Type Number Dated Case
United States Of America Published Application 20220124154 04/21/2022 2018-132

Brief Description

In our electronically connected society, human identification systems are critical to secure authentication, and also enabling for tailored services to individuals. Conventional human identification systems, such as biometric-based or vision-based approaches, require either the deployment of dedicated infrastructure, or the active cooperation of users to carry devices. Consequently, pervasive implementation of conventional human identification systems is expensive, inconvenient, or intrusive to privacy.

Recently, WiFi infrastructure, and associated WiFi-enabled mobile and IoT devices have become ubiquitous, and correspondingly, have enabled many context-aware and location-based services.

To address the challenges of human identification systems and take advantage of the popularity of WiFi, researchers at UC Berkeley developed a human identification system based on analyzing signals from existing WiFi-enabled devices. This novel device-free approach uses WiFi signal analysis to reveal the unique, fine-grained gait patterns of individuals as the "fingerprint" for human identification.

Suggested uses

  • Secure authentication
  • Tailor-made services


  • Lower cost
  • More convenient
  • Less intrusive

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Other Information


Software, Authentication, WiFi

Categorized As