Keyboard acoustic emanations revisited
Proceedings of the 12th ACM conference on Computer and communications security
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Flick input is usual input method on touch panels of smart phones. Inputted characters are decided by a touched place on the screen and by a moving direction from the place. There is a research in which users are identified with characteristics of flick input of them. However, the characteristics are not stable since users usually change their postures when they hold their smart phones. The accuracy of personal identification depends on postures of users in the research. Therefore, in this paper, we propose a new method which increases the accuracy of personal identification by obtaining postures of users from acceleration sensors on smart phones.