Cross Pocket Gait Authentication using Mobile Phone Based Accelerometer Sensor

Muhammad Muaaz, Rene Mayrhofer

Research output: Chapter in Book/Report/Conference proceedingsConference contribution

6 Citations (Scopus)

Abstract

Gait authentication using mobile phone based accelerometer sensors offers an implicit way of authenticating users to their mobile devices. This study explores gait authentication performance under a realistic scenario if gait template and gait test data belongs to left and right side front pocket of the trousers. To simulate this scenario, we used two identical (model, build, and vendor) Android mobile phones to record cross pocket biometric gait data from 35 participants (29 male and 6 female) in two different sessions. Both datasets (left and right pocket) are processed and segmented using the same approach. Our results show that biometric gait performance not only decreases over the time but it is also highly influenced by the placement of the mobile device or the sensor capturing gait data. High number of False Non Matches (FNMR) in cross pocket scenario indicate a significant asymmetry in leg muscle strength.

Original languageEnglish
Title of host publicationComputer Aided Systems Theory – EUROCAST 2015 - 15th International Conference, Revised Selected Papers
EditorsFranz Pichler, Roberto Moreno-Díaz, Alexis Quesada-Arencibia
PublisherSpringer Vieweg
Pages731-738
Number of pages8
ISBN (Print)9783319273396
DOIs
Publication statusPublished - 2015
Event15th International Conference, Las Palmas de Gran Canaria, Spain, February 8-13, 2015 - Las Palmas de Gran Canaria, Spain, Spain
Duration: 8 Feb 201513 Feb 2015
http://eurocast2015.fulp.ulpgc.es/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9520
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference, Las Palmas de Gran Canaria, Spain, February 8-13, 2015
CountrySpain
CityLas Palmas de Gran Canaria, Spain
Period08.02.201513.02.2015
Internet address

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