User identification through wearable antenna characteristics at 2.45 GHz

Waqar Saadat, Sumit A. Raurale, Gareth A. Conway, John McAllister

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)

Abstract

This paper reports on recent developments in the characterization of a novel biometric concept for the identification of users at 2.45 GHz. A wearable sensor system, worn on the arm of the user, analyses antenna-tissue coupling characteristics to differentiate between users for both static and dynamic movements. A study of the human body effects on antenna characteristics show that although the antenna-tissue coupling can vary with body movement and time, the user can be identified. Machine learning algorithmic techniques successfully identify individual humans with a classification accuracy of over 99 %. The physical layer identification concept could be used as a new biometric in future secure user authentication applications.

Original languageEnglish
Publication statusPublished - 01 Jan 2018
Event12th European Conference on Antennas and Propagation, EuCAP 2018 - London, United Kingdom
Duration: 09 Apr 201813 Apr 2018
Conference number: 12

Conference

Conference12th European Conference on Antennas and Propagation, EuCAP 2018
Abbreviated titleEuCAP 2018
Country/TerritoryUnited Kingdom
CityLondon
Period09/04/201813/04/2018

Keywords

  • Antenna
  • Biometric
  • Identification
  • On-body sensor
  • Security
  • Wearable

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'User identification through wearable antenna characteristics at 2.45 GHz'. Together they form a unique fingerprint.

Cite this