Please use this identifier to cite or link to this item:
http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/506
Title: | Intelligent pressure-based typing biometrics system |
Authors: | Dahalan, Azweeda Salami, Momoh-Jimoh E. Lai, Weng K. Ismail, Ahmad F. |
Keywords: | Intelligent Pressure-Based Typing Biometrics System |
Issue Date: | 20-Sep-2004 |
Publisher: | Springer, Berlin, Heidelberg |
Citation: | Dahalan, A., Salami, M. E., Lai, W. K., & Ismail, A. F. (2004, September). Intelligent pressure-based typing biometrics system. In International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (pp. 294-304). Springer, Berlin, Heidelberg. |
Abstract: | The design and development of a real-time enhanced password security system, based on the analysis of habitual typing rhythms of individuals, is discussed in this paper. The paper examines the use of force exerted on the keyboard and time latency between keystrokes to create typing patterns for individual users. Pressure signals which are taken from the sensors underneath the keypad are extracted accordingly. These are then used to recognize authentic users and reject imposters. An experimental setup has been developed to capture the pressure signal information of the users’ typing rhythm. Neuro-fuzzy system is employed as the classifier to measure the user’s typing pattern using the Adaptive Neural Fuzzy Inference System toolbox (ANFIS) in MATLAB. |
URI: | http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/506 |
Appears in Collections: | Research Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Intelligent pressure-based typing biometrics system.pdf | Article full-text | 313.15 kB | Adobe PDF | View/Open |
Items in EUSpace are protected by copyright, with all rights reserved, unless otherwise indicated.