LAPC - Recognising People Using Smart Phone Antennas - rme2.pdf (616.03 kB)

Recognising people using smart phone antennas: A fuzzy biometric

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conference contribution
posted on 01.05.2018, 10:38 by S.R. Heyes, Robert Edwards
Many calls are made to mobile phones by machines and for nuisance avoidance it would be useful to know if the caller was human or not. Also for convenience it would also be useful to know if the person using a mobile was the same as the one normally using it and if that person was an adult or a child. A wrong result could be used to trigger a request for a key code. Using the hand and four mobile frequency band antennas this paper has investigated the effects of different people on the input impedance of mobile phone antennas with the aim of establishing whether the effect is distinct enough to allow a fuzzy biometric to be achieved. Hands were placed at a range of distances from the antenna, using a test rig designed specifically for this experiment. The frequencies of operation were 900 MHz, 1800 MHz, 1900 MHz and 2.4 GHz. Results showed that the effect of each volunteer on the antenna's input impedance varied significantly when their hand was 30 mm or less from the antenna and that below 10mm they were distinct between volunteers.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Loughborough Antennas & Propagation Conference (LAPC 2017)

Pages

35 - 35 (6)

Citation

HEYES, S.R. and EDWARDS, R.M., 2017. Recognising people using smart phone antennas: A fuzzy biometric. IN: Loughborough Antennas & Propagation Conference (LAPC 2017), Loughborough, UK, 13-14 November 2017, pp.35-35.

Publisher

© The Institution of Engineering and Technology

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

30/05/2017

Publication date

2017

Notes

This paper is a postprint of a paper submitted to and accepted for publication in Loughborough Antennas & Propagation Conference (LAPC 2017) and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.

ISBN

9781785616990

Language

en

Location

Loughborough

Exports