DocumentCode :
1882853
Title :
An investigation on touch biometrics: Behavioral factors on screen size, physical context and application context
Author :
Tao Feng ; Xi Zhao ; DeSalvo, Nick ; Tzu-Hua Liu ; Zhimin Gao ; Xi Wang ; Weidong Shi
Author_Institution :
Comput. Sci. Dept., Univ. of Houston, Houston, TX, USA
fYear :
2015
fDate :
14-16 April 2015
Firstpage :
1
Lastpage :
6
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.
Keywords :
behavioural sciences; biometrics (access control); data privacy; human computer interaction; mobile computing; social aspects of automation; touch sensitive screens; application context; behavioral biometric solutions; behavioral factors; context-aware mobile user recognition method; contextual behavior factors; contextual behavior information; mobile devices; physical activity context; privacy concerns; security demands; smartphone device screen size; touch based user recognition; touch biometrics; touch screen usage behavior; user identification performance; Authentication; Biometrics (access control); Context; Feature extraction; Mobile communication; Mobile handsets; Performance evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technologies for Homeland Security (HST), 2015 IEEE International Symposium on
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4799-1736-5
Type :
conf
DOI :
10.1109/THS.2015.7225318
Filename :
7225318
Link To Document :
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