Presentation | 2014-07-03 Authentication for Mobile Devices Using Behavioral Biometrics with Adaptive Templates Shigeki KARITA, Kumi NAKAMURA, Kazuhiro KONO, Yoshimichi ITO, Noboru BABAGUCHI, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a template renewal method for improving authentication accuracy in biometric authentication with behavioral characteristics, where we deal with mobile devices. Most studies focus on reducing False-Rejection-Rate by selecting and renewing a template that is the most identifiable among one's input data. However, it is also necessary to reduce False-Acceptation-Rate in order to improve accuracy. Using cluster analysis, we select and renew an optimized template that is the most identifiable as a user and is the most distinguishable from others. Our experiment results in Equal-Error-Rate of 3.84% when 7 users authenticate with same hand gestures. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | mobile device / authentication / behavioral biometrics / hand gesture / accelerometer / cluster analysis / supervised learning |
Paper # | ISEC2014-21,SITE2014-16,ICSS2014-25,EMM2014-21 |
Date of Issue |
Conference Information | |
Committee | ICSS |
---|---|
Conference Date | 2014/6/26(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
Registration To | Information and Communication System Security (ICSS) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Authentication for Mobile Devices Using Behavioral Biometrics with Adaptive Templates |
Sub Title (in English) | |
Keyword(1) | mobile device |
Keyword(2) | authentication |
Keyword(3) | behavioral biometrics |
Keyword(4) | hand gesture |
Keyword(5) | accelerometer |
Keyword(6) | cluster analysis |
Keyword(7) | supervised learning |
1st Author's Name | Shigeki KARITA |
1st Author's Affiliation | Graduate School of Engineering, Osaka University() |
2nd Author's Name | Kumi NAKAMURA |
2nd Author's Affiliation | Graduate School of Engineering, Osaka University |
3rd Author's Name | Kazuhiro KONO |
3rd Author's Affiliation | Faculty of Safety Science, Kansai University |
4th Author's Name | Yoshimichi ITO |
4th Author's Affiliation | Faculty of Engineering, Osaka Electro-Communication University |
5th Author's Name | Noboru BABAGUCHI |
5th Author's Affiliation | Graduate School of Engineering, Osaka University |
Date | 2014-07-03 |
Paper # | ISEC2014-21,SITE2014-16,ICSS2014-25,EMM2014-21 |
Volume (vol) | vol.114 |
Number (no) | 117 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |