Bakelman Keypad Dataset
Access to this repository is provided under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. In short, the dataset is intended for research and cannot be used for commercial applications.
Publications making use of this dataset should make the following citations:
- Bakelman, Ned and Monaco, John V and Cha, Sung-Hyuk and Tappert, Charles C, "Keystroke Biometric Studies on Password and Numeric Keypad Input," European Intelligence and Security Informatics Conference (EISIC) 2013.
- Monaco, John V and Bakelman, Ned and Cha, Sung-Hyuk and Tappert, Charles C, "Recent Advances in the Development of a Long-Text-Input Keystroke Biometric Authentication System for Arbitrary Text Input," European Intelligence and Security Informatics Conference (EISIC) 2013.
This dataset contains keypad input on a standard desktop keyboard from 30 users entering a 10-digit phone number. Users were instructed to enter the string "9141937761" followed by the Enter key using the keypad portion of the keyboard. There are 20 samples for each user. Incorrect entries were discarded. Data was collected using the Basing Key Logger.