Cross Pocket Gait Authentication using Mobile Phone Based Accelerometer Sensor

Muhammad Muaaz; Rene Mayrhofer

doi:10.1007/978-3-319-27340-2_90

Cross Pocket Gait Authentication using Mobile Phone Based Accelerometer Sensor

Muhammad Muaaz, Rene Mayrhofer

Research Center Hagenberg

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag

9 Zitate (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.

Originalsprache	Englisch
Titel	Computer Aided Systems Theory – EUROCAST 2015 - 15th International Conference, Revised Selected Papers
Redakteure/-innen	Franz Pichler, Roberto Moreno-Díaz, Alexis Quesada-Arencibia
Herausgeber (Verlag)	Springer
Seiten	731-738
Seitenumfang	8
ISBN (Print)	9783319273396
DOIs	https://doi.org/10.1007/978-3-319-27340-2_90
Publikationsstatus	Veröffentlicht - 2015
Veranstaltung	15th International Conference, Las Palmas de Gran Canaria, Spain, February 8-13, 2015 - Las Palmas de Gran Canaria, Spain, Spanien Dauer: 8 Feb. 2015 → 13 Feb. 2015 http://eurocast2015.fulp.ulpgc.es/

Publikationsreihe

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band	9520
ISSN (Print)	0302-9743
ISSN (elektronisch)	1611-3349

Konferenz

Konferenz	15th International Conference, Las Palmas de Gran Canaria, Spain, February 8-13, 2015
Land/Gebiet	Spanien
Ort	Las Palmas de Gran Canaria, Spain
Zeitraum	08.02.2015 → 13.02.2015
Internetadresse	http://eurocast2015.fulp.ulpgc.es/

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10.1007/978-3-319-27340-2_90

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Muaaz, M., & Mayrhofer, R. (2015). Cross Pocket Gait Authentication using Mobile Phone Based Accelerometer Sensor. in F. Pichler, R. Moreno-Díaz, & A. Quesada-Arencibia (Hrsg.), Computer Aided Systems Theory – EUROCAST 2015 - 15th International Conference, Revised Selected Papers (S. 731-738). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 9520). Springer. https://doi.org/10.1007/978-3-319-27340-2_90

Muaaz, Muhammad ; Mayrhofer, Rene. / Cross Pocket Gait Authentication using Mobile Phone Based Accelerometer Sensor. Computer Aided Systems Theory – EUROCAST 2015 - 15th International Conference, Revised Selected Papers. Hrsg. / Franz Pichler ; Roberto Moreno-Díaz ; Alexis Quesada-Arencibia. Springer, 2015. S. 731-738 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Cross Pocket Gait Authentication using Mobile Phone Based Accelerometer Sensor",

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.",

author = "Muhammad Muaaz and Rene Mayrhofer",

note = "Funding Information: We gratefully acknowledge funding and support by the Christian Doppler Gesellschaft, A1 Telekom Austria AG, Drei-Banken-EDV GmbH, LG Nexera Business Solutions AG, and NXP Semiconductors Austria GmbH. Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 15th International Conference, Las Palmas de Gran Canaria, Spain, February 8-13, 2015 ; Conference date: 08-02-2015 Through 13-02-2015",

year = "2015",

doi = "10.1007/978-3-319-27340-2_90",

language = "English",

isbn = "9783319273396",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Muaaz, M & Mayrhofer, R 2015, Cross Pocket Gait Authentication using Mobile Phone Based Accelerometer Sensor. in F Pichler, R Moreno-Díaz & A Quesada-Arencibia (Hrsg.), Computer Aided Systems Theory – EUROCAST 2015 - 15th International Conference, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 9520, Springer, S. 731-738, 15th International Conference, Las Palmas de Gran Canaria, Spain, February 8-13, 2015, Las Palmas de Gran Canaria, Spain, Spanien, 08.02.2015. https://doi.org/10.1007/978-3-319-27340-2_90

Cross Pocket Gait Authentication using Mobile Phone Based Accelerometer Sensor. / Muaaz, Muhammad; Mayrhofer, Rene.
Computer Aided Systems Theory – EUROCAST 2015 - 15th International Conference, Revised Selected Papers. Hrsg. / Franz Pichler; Roberto Moreno-Díaz; Alexis Quesada-Arencibia. Springer, 2015. S. 731-738 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 9520).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag

TY - GEN

T1 - Cross Pocket Gait Authentication using Mobile Phone Based Accelerometer Sensor

AU - Muaaz, Muhammad

AU - Mayrhofer, Rene

N1 - Funding Information: We gratefully acknowledge funding and support by the Christian Doppler Gesellschaft, A1 Telekom Austria AG, Drei-Banken-EDV GmbH, LG Nexera Business Solutions AG, and NXP Semiconductors Austria GmbH. Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

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DO - 10.1007/978-3-319-27340-2_90

M3 - Conference contribution

SN - 9783319273396

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 731

EP - 738

BT - Computer Aided Systems Theory – EUROCAST 2015 - 15th International Conference, Revised Selected Papers

A2 - Pichler, Franz

A2 - Moreno-Díaz, Roberto

A2 - Quesada-Arencibia, Alexis

PB - Springer

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Y2 - 8 February 2015 through 13 February 2015

ER -

Muaaz M, Mayrhofer R. Cross Pocket Gait Authentication using Mobile Phone Based Accelerometer Sensor. in Pichler F, Moreno-Díaz R, Quesada-Arencibia A, Hrsg., Computer Aided Systems Theory – EUROCAST 2015 - 15th International Conference, Revised Selected Papers. Springer. 2015. S. 731-738. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-27340-2_90

Cross Pocket Gait Authentication using Mobile Phone Based Accelerometer Sensor

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