Screen Unlocking by Spontaneous Flick Reactions with One-class Classification Approaches

被引：0

作者：

Matsubara, Yoshitomo ^{[1
]}

Nishimura, Haruhiko ^{[1
]}

Samura, Toshiharu ^{[2
]}

Yoshimoto, Hiroyuki ^{[3
]}

Tanimoto, Ryohei ^{[3
]}

机构：

[1] Univ Hyogo, Grad Sch Appl Informat, Kobe, Hyogo, Japan

[2] Akashi Coll, Natl Inst Technol, Dept Elect & Comp Engn, Akashi, Hyogo, Japan

[3] Step One Ltd, Kobe, Hyogo, Japan

来源：

2016 15TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2016) | 2016年

关键词：

biometrics application; spontaneous flick reaction; one-class classification; smart device; touch-screen display; AUTHENTICATION; SUPPORT;

D O I：

10.1109/ICMLA.2016.155

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Physical biometrics technologies are introduced to the login process on smart devices. However, many of them have several disadvantages: requirement of embedding special sensor, limited environment to use and copy of key information for authentication. In this research, we proposed a new biometrics technique which can capture user's inimitable behavioral features in his/her spontaneous flick reactions on a touch-screen display for unlocking the device when it wakes up. For practical use of the technique, we adopted one-class classification approaches and they achieved about 1-2% EERs for 2500 samples from 50 subjects.

引用

页码：752 / 757

页数：6

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