User Identification Based on Force-Sensing Keypad by Force-Space-Time Method

Liang Tang; Chang Qi Yang; Zhi Wen Wu

doi:10.4028/www.scientific.net/AMR.255-260.2023

Paper Titles

The Symmetrical Variation of 2DPCA for Face Recognition
p.2004

The Research on Mediating Effect Model of Relationship Benefits in Materials Industries: Data Mining
p.2009

Towards the Harmonious Mating for Genetic Algorithms
p.2013

Six-Dimensional Chaotic System and its Circuit Implementation
p.2018

User Identification Based on Force-Sensing Keypad by Force-Space-Time Method
p.2023

Improving Relevance Feedback via Using Support Vector Machines
p.2028

Preprocessing in Model Counting through Clause and Variable Elimination
p.2033

An Adaptive Edge Detection Method Based on Canny Operator
p.2037

A Real-Time Audio Watermarking Algorithm Based on MCLT
p.2042

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 255-260User Identification Based on Force-Sensing Keypad...

User Identification Based on Force-Sensing Keypad by Force-Space-Time Method

Abstract:

In this research, a force-sensing keypad was constructed by adding the pressure sensors with the individual keys on the standard keypad. The sensors permit the dynamic measurement of applied force and key-press timings. It can provide an advantage of more detailed information about key-press force. Details of the experimental setup used are given, and the results from initial tests are reported. The results shows the force-space-time method for user identification based on force-sensing keypad is valid.

You might also be interested in these eBooks

Advances in Civil Engineering, CEBM 2011

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 255-260)

Pages:

2023-2027

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.255-260.2023

Citation:

Cite this paper

Online since:

May 2011

Authors:

Liang Tang, Chang Qi Yang, Zhi Wen Wu

Keywords:

Biometric Feature, Force-Sensing Keypad, Keystroke Feature, Press Sensor, User Identification

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] A.Jain, R. Bolle, S. Pankanti: Personal Identification in Networked Society. Kluwer Academic Publishers, 2003, pp.1-41

Google Scholar

[2] S. Gaines, W. Lisowski, S. Press, and S. Shapiro: Rand Report, Vol.6, 1980, pp.25-36

Google Scholar

[3] Enzhe Yu, Sungzoon Cho: Computers & Security, Vol.23, No. 11, pp.428-440, (2004)

Google Scholar

[4] Dan Li, Hong Gu, Zhang LiYan: Expert Systems with Applications, Vol.37, 2010, pp.6942-6947

Google Scholar

[5] Jae Kun Shim, Mark L.Latash, Vladimir M.Zatsiorsky: Neuroscience Letters, Vol. 53, No. 3, 2003, pp.72-74

Google Scholar

[6] James G. Phillips, Rowan P. Ogeil: Psychopharmacology, Vol. 208, No. 12, 2010, pp.603-611

Google Scholar

[7] Hyoung-Joo Lee, Sungzoon Cho: Computers & Security, Vol. 26, No. 7, 2007, pp.300-310

Google Scholar

[8] Jugurta R. Montalvao Filho, Eduardo O, Freire: Pattern Recognition Letters, Vol. 27, No. 9, 2006, p.1440–1446

Google Scholar