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The behavioral biometric of keystroke dynamics uses the manner and rhythm in which an individual types characters on a keyboard or keypad. [13] [14] [15] The user's keystroke rhythms are measured to develop a unique biometric template of the user's typing pattern for future authentication. [7]
Pinch. A 2+ finger gesture commonly used to zoom out; Zoom. A 2+ finger gesture commonly used to zoom in; Initial Act. The action or actions necessary to prepare the system for use (e.g. unlocking device, tapping an icon, entering a password). Tap. Tapping some area of the screen to effect a change or initiate an action. Swipe.
[2] [3] [4] Many organizations, including governments, publish and share their datasets. The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals.
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Keystroke logging, often referred to as keylogging or keyboard capturing, is the action of recording (logging) the keys struck on a keyboard, [1] [2] typically covertly, so that a person using the keyboard is unaware that their actions are being monitored. Data can then be retrieved by the person operating the logging program.
Down 2 basis points Pulling back on average rate updates over the past year shows minimal movement for traditional savings accounts with bigger movement on short- and long-term CDs.
RAWPED is a dataset for detection of pedestrians in the context of railways. The dataset is labeled box-wise. 26000 Images Object recognition and classification 2020 [70] [71] Tugce Toprak, Burak Belenlioglu, Burak Aydın, Cuneyt Guzelis, M. Alper Selver OSDaR23 OSDaR23 is a multi-sensory dataset for detection of objects in the context of railways.
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