Orientation Independent Cell Phone Based Gait Authentication

Muhammad Muaaz, Rene Mayrhofer

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

23 Citations (Scopus)

Abstract

Gait authentication using a cell phone based accelerometer sensor offers an unobtrusive, user-friendly, and periodic way of authenticating individuals on their cell phones. In this study, we present an approach to deal with inevitable errors induced by continuously changing sensor orientation and other noise under a realistic scenario (when the phone is placed inside the trouser pockets and the user is walking) by using the magnitude data of tri-axes accelerometer and wavelet based noise elimination modules. This study utilizes a gait data set of 35 participants collected at their respective normal walking pace in two different sessions with an average gap of 25 days between the sessions.
Original languageEnglish
Title of host publication12th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2014
EditorsI-Hsien Ting, Yu-Hui Tao, Matthias Steinbauer, Ismail Khalil, Hsin-Chang Yang, Gabriele Anderst-Kotsis
PublisherACM Press
Pages161-164
Number of pages4
ISBN (Electronic)9781450330084
DOIs
Publication statusPublished - 8 Dec 2014
Event12th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2014) - Kaohsiung, Taiwan, China
Duration: 8 Dec 201410 Dec 2014
http://www.iiwas.org/conferences/momm2014/

Publication series

Name12th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2014

Conference

Conference12th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2014)
CountryChina
CityKaohsiung, Taiwan
Period08.12.201410.12.2014
Internet address

Keywords

  • Accelerometer
  • gait recognition
  • segmentation
  • variance
  • wavelets
  • Wavelets
  • Segmentation
  • Gait recognition
  • Variance

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