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Abstract—We introduce Hand Movement, Orientation, and Grasp (HMOG), a set of behavioral features to continuously authenticate smartphone users. HMOG features unobtrusively capture subtle micro-movement and orientation dynamics result- ing from how a user grasps, holds, and taps on the smartphone.
Dec 8, 2015 · Abstract: We introduce hand movement, orientation, and grasp (HMOG), a set of behavioral features to continuously authenticate smartphone ...
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We introduce hand movement, orientation, and grasp (HMOG), a set of behavioral features to continuously authenticate smartphone users.
May 1, 2016 · We introduce hand movement, orientation, and grasp (HMOG), a set of behavioral features to continuously authenticate smartphone users.
This paper collects a new data-set of multiple behavioral biometric modalities when a user fills out an account recovery form in sitting using an Android ...
In this paper, we introduce Hand Movement, Orientation, and Grasp (HMOG), a behavioral biometric to continuously authenticate smartphone users.
This dataset has been used to evaluate a continuous authentication modality named H-MOG in smartphones. A detailed description of this dataset and its ...
This dataset has been used to evaluate a continuous authentication modality named H-MOG in smartphones. A data collection tool for Android phones was developed ...
... taps. In this paper, we introduce Hand Movement, Orientation, and Grasp (HMOG), a behavioral biometric to continuously authenticate smartphone users. HMOG ...
In this paper, we use Hand Movement Orientation and Grasp (HMOG) sensor data to authenticate smart phone users. The way a user holds, grasps a mobile phone ...