Touch screen based user identification

• Autorzy: Tybura M. , Szczepański A.
• Języki publikacji: EN

Abstrakty

EN

The main subject of this work was to find a new way of user identification based on his interactions with a touch screen of a detecting device such as smartphone, tablet or operating panel. The entire identification process was performed in implemented mobile software and the identification was based on certain mathematical criteria. No additional external device was connected to the portable device for user recognition process.

Słowa kluczowe

EN

security; authorization; touch screen; user recognition

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2015
• Tom: Vol. 61, No. 12
• Strony: 565--567
• Opis fizyczny: Bibliogr. 7 poz., rys., tab., wykr., wzory

Twórcy

autor

Tybura M.

• Rzeszow University of Technology, Department of Electrical Engineering and Computer Science, 2 Wincentego Pola Str., 35-959 Rzeszów

autor

Szczepański A.

• Rzeszow University of Technology, Department of Electrical Engineering and Computer Science, 2 Wincentego Pola Str., 35-959 Rzeszów

Bibliografia

• [1] Pogue D.: Windows 8 the missing manual, O’Reilly, 2013.
• [2] Jay Prakash Gupta, Nishant Singh, Pushkar Dixit, Vijay Bhaskar Semwal, Shiv Ram Dubey: Human Activity Recognition Using Gait Pattern. International journal of computer vision and image processing, vol. 3, issue 3, 2013.
• [3] Bakhtiar Affendi Rosdi, Chai Wuh Shing, Shahrel Azmin Suandi: Finger Vein Recognition Using Local Line Binary Pattern. Sensors 11(12), 2011.
• [4] Blažica B.: The Inherent Context Awareness of Natural User Interfaces: a Case Study on Multitouch Displays, 2014.
• [5] Holz C., Buthpitiya S., Knaust M.: Bodyprint: Biometric User Identification on Mobile Devices Using the Capacitive Touchscreen to Scan Body Parts, Yahoo Labs.
• [6] Buschek D., De Luca A., Alt F.: Improving Accuracy, Applicability and Usability of Keystroke Biometrics on Mobile Touchscreen Devices.
• [7] Damopoulos D.: Anomaly-Based Intrusion Detection and Prevention Systems for Mobile Devices: Design and Development, University of the Aegean, 2013.