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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tao Feng Xi Zhao DeSalvo, N. Tzu-Hua Liu Zhimin Gao Xi Wang Weidong Shi |
| Copyright Year | 2015 |
| Description | Author affiliation: Comput. Sci. Dept., Univ. of Houston, Houston, TX, USA (Tao Feng; Xi Zhao; DeSalvo, N.; Tzu-Hua Liu; Zhimin Gao; Xi Wang; Weidong Shi) |
| Abstract | With increasing privacy concerns and security demands present within mobile devices, behavioral biometric solutions, such as touch based user recognition, have been researched as of recent. However, several vital contextual behavior factors (i.e., screen size, physical and application context) and how those effect user identification performance, remains unaddressed in previous studies. In this paper we first introduce a context-aware mobile user recognition method. Then a comparative experiment to evaluate the impacts of these factors in relation to user identification performance is presented. Experimental results have demonstrated that a user's touch screen usage behavior may be affected given different contextual behavior information. Furthermore, several interesting occurrences have been found in the results: 1) screen size of a smartphone device changes the way a user touches and holds the device. A larger screen size will provide more potential methods of interacting with the device and in effect, a higher user recognition accuracy as well; and 2) application context and physical activity context can aid in achieving higher accuracy for user recognition. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 3079214 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479917372 |
| DOI | 10.1109/THS.2015.7225318 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-04-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Context Performance evaluation Biometrics (access control) Authentication Feature extraction Mobile communication Mobile handsets |
| Content Type | Text |
| Resource Type | Article |
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