… compared to other types of user data across different social … user identification method
based on user behavior habits (ANIUBH). We analyzed the user’s personalized naming habits in …

… of utilizing the behavioral biometrics extracted from smartphone sensors for user identification,
we propose SilentSense, a non-intrusive continuous user identification mechanism to …

… Since each user data has a different effect on user identification, we propose a posterior …
for user data, while the weight-based similarity vector is constructed for user identification. …

… behavioral patterns can be exploited to identify and track users by using only the observed
patterns in the behavior… We study the task of identifying users from statistics of their behavioral …

… Thus, we next elaborate how to analyze behavioral patterns related to user identification
and how features can be constructed to capture information redundancies due to these patterns…

… to identify classes of users based on a predefined call behavior … in identifying mobility profiles
based on the presence of user in an area, that is in turn based on the call habits of that user…

… Then, in a second step, with the identified clusters of users we aim to define specific classes…
general, common behaviors that allow a better understanding of the habits of the customer …

… the cross-media user identification problem. We introduce a … component identifies users’
unique behavioral patterns that … redundancies due to these behavioral patterns; and the third …

… the intention of the users, but in the present work, in order to identify the user habits, only
the … the video recording of the experiments to compare the user behavior in different habits. …

… biometrics that can be exploited for designing reliable user … user recognition schemes that
employ these behavioral … Recognising and identifying particular users is central to delivering …