Article

Haptic: the new biometrics-embedded media to recognizing and quantifying human patterns

Authors:

Mauricio Orozco Trujillo,

Ismail Shakra,

Abdulmotaleb El SaddikAuthors Info & Claims

MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia

Pages 387 - 390

https://doi.org/10.1145/1101149.1101232

Published: 06 November 2005 Publication History

Get Access

Abstract

Authentication for the purposes of security has taken giant strides since the introduction of Biometrics to help identify people by their behavioral and physiological features. From organizations and corporations to educational institutes, electronic resources, and even crime scenes, Biometrics offers a wide application scope to detect fraud attempts. This paper proposes a research path to achieve the task of authenticating users that are working in a haptic-based environment. The field of Biometrics can be divided into two main classes of human features. Birth-given characteristics like fingerprints and facial features cannot be developed or altered by humans. Behavioral characteristics such as hand signature and voice fall into the second class [1]. The work presented in this paper pursues the latter class and specifically studies how a person reacts to using daily devices or tools. The fact that we can exploit people's habits in handling devices to detect identity was the hypothesis that motivated this work.

References

[1]

Ortega-Garcia,J., Bigun, J., Reynolds, D., Gonzalez-Rodriguez, J. Authentication gets personal with biometrics. Signal Processing Magazine, IEEE Volume 21, Issue 2, Mar 2004 Page(s):50--62]]

Crossref

Google Scholar

[2]

Nalwa,V.S. Automatic on-line signature verification. Proceedings of the IEEE Volume 85, Issue 2, Feb. 1997 Page(s):215--239]]

Digital Library

Google Scholar

[3]

Joyce,R., and Gupta, G. Identity Authentication Based on Keystroke Latencies. Communication of ACM,Vol 33 Issue 2, February 1990.]]

Digital Library

Google Scholar

[4]

Monrose, F. and Rubin, A. Authentication via Keystroke Dynamics. In Proceedings of the 4th ACM conference on Computer and communication security. Zurich, Switzerland, 1997, 48--56.]]

Digital Library

Google Scholar

[5]

T. Qu, A. El Saddik, A. Adler. Dynamic Signature Verification System Using Stroke Based Features. MSc. Thesis, University of Ottawa, Ottawa, ON, 2004.]]

Google Scholar

[6]

Theodoridis, S. and Koutroumbas,K. Pattern Recognition. Second Edition, Elsevier Academic Press, 2003.]]

Digital Library

Google Scholar

[7]

Reachin Technologies, http://www.reachin.se/]]

Google Scholar

[8]

Sensable Technologies http://www.sensible.com/]]

Google Scholar

[9]

Stereo3DTM http://www.stereo3d.com/]]

Google Scholar

[10]

Halkid,M., Batistakis, Y., Vazirgiannis, M. Cluster Validity Methods : part I. ACM SIGMOD Record. Volume 31 Issue 2]]

Digital Library

Google Scholar

[11]

M. Orozco, Y. Asfaw, A. Adler, S. Shirmohammadi, A. El Saddik äutomatic Identification of Participants in Haptic Systems", 2005 IEEE IMTC, pp. 888--892, Ottawa, Canada, 17-19 May 2005.]]

Google Scholar

Cited By

View all

Yampolskiy RAli ND'Souza DMohamed A(2014)Behavioral BiometricsInternational Journal of Natural Computing Research10.4018/ijncr.20140701054:3(85-118)Online publication date: 1-Jul-2014
https://dl.acm.org/doi/10.4018/ijncr.2014070105
Kuber RYu W(2010)Tactile vs graphical authenticationProceedings of the 2010 international conference on Haptics: generating and perceiving tangible sensations, Part I10.5555/1884164.1884212(314-319)Online publication date: 8-Jul-2010
https://dl.acm.org/doi/10.5555/1884164.1884212
Kuber RYu W(2010)Feasibility study of tactile-based authenticationInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2009.11.00168:3(158-181)Online publication date: 1-Mar-2010
https://dl.acm.org/doi/10.1016/j.ijhcs.2009.11.001
Show More Cited By

Index Terms

Haptic: the new biometrics-embedded media to recognizing and quantifying human patterns
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
      1. Virtual reality
  2. Machine learning
    1. Learning paradigms
      1. Unsupervised learning
        Cluster analysis

Recommendations

Palmprint and Finger-Knuckle-Print for efficient person recognition based on Log-Gabor filter response

Person recognition systems based on biometrics are being increasingly utilized in any applications to enhance the security of physical and logical access systems. A number of biometric traits exist and are in use in various applications. Each biometric ...
A privacy-preserving cancelable iris template generation scheme using decimal encoding and look-up table mapping

Biometric-based recognition systems have overcome passive issues of traditional human authentication systems. However, security theft and privacy invasion are two passive issues that still persist in the effective deployment of biometric-based ...
Metacarpophalangeal joint patterns based personal identification system

A new biometric identifier: whole MJP pattern is introduced.An effective, fast and robust MJP based biometric system is developed and presented.Discriminative common vector based method is firstly applied to obtain the feature sets of MJPs. This paper ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia

November 2005

1110 pages

ISBN:1595930442

DOI:10.1145/1101149

General Chairs:
Hongjiang Zhang
Microsoft Research Asia, China
,
Tat-Seng Chua
National University of Singapore, Singapore
,
Program Chairs:
Ralf Steinmetz
Technische Universitat Darmstadt, Germany
,
Mohan Kankanhalli
National University of Singapore, Singapore
,
Lynn Wilcox
FXPAL

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2005

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

MM05

Sponsor:

MM05: 2005 13th Annual ACM International Conference on Multimedia

November 6 - 11, 2005

Hilton, Singapore

Acceptance Rates

MULTIMEDIA '05 Paper Acceptance Rate 49 of 312 submissions, 16%;

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

9
Total Citations
View Citations
714
Total Downloads

Downloads (Last 12 months)6
Downloads (Last 6 weeks)0

Reflects downloads up to 03 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Yampolskiy RAli ND'Souza DMohamed A(2014)Behavioral BiometricsInternational Journal of Natural Computing Research10.4018/ijncr.20140701054:3(85-118)Online publication date: 1-Jul-2014
https://dl.acm.org/doi/10.4018/ijncr.2014070105
Kuber RYu W(2010)Tactile vs graphical authenticationProceedings of the 2010 international conference on Haptics: generating and perceiving tangible sensations, Part I10.5555/1884164.1884212(314-319)Online publication date: 8-Jul-2010
https://dl.acm.org/doi/10.5555/1884164.1884212
Kuber RYu W(2010)Feasibility study of tactile-based authenticationInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2009.11.00168:3(158-181)Online publication date: 1-Mar-2010
https://dl.acm.org/doi/10.1016/j.ijhcs.2009.11.001
Kuber RYu W(2010)Tactile vs Graphical AuthenticationProceedings, Part I, of the International Conference on Haptics: Generating and Perceiving Tangible Sensations - Volume 619110.1007/978-3-642-14064-8_45(314-319)Online publication date: 8-Jul-2010
https://dl.acm.org/doi/10.1007/978-3-642-14064-8_45
Vizer LZhou LSears A(2009)Automated stress detection using keystroke and linguistic featuresInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2009.07.00567:10(870-886)Online publication date: 1-Oct-2009
https://dl.acm.org/doi/10.1016/j.ijhcs.2009.07.005
Yampolskiy RGovindaraju V(2008)Behavioural biometrics: a survey and classificationInternational Journal of Biometrics10.1504/IJBM.2008.0186651:1(81-113)Online publication date: 1-Jun-2008
https://dl.acm.org/doi/10.1504/IJBM.2008.018665
Kanneh ASakr ZEL Saddik AVuong SGriwodz CDel Bimbo ACandan KJaimes A(2008)Biometric user verification using haptics and fuzzy logicProceedings of the 16th ACM international conference on Multimedia10.1145/1459359.1459526(937-940)Online publication date: 26-Oct-2008
https://dl.acm.org/doi/10.1145/1459359.1459526
Yampolskiy R(2007)Human Computer Interaction Based Intrusion DetectionProceedings of the International Conference on Information Technology10.1109/ITNG.2007.101(837-842)Online publication date: 2-Apr-2007
https://dl.acm.org/doi/10.1109/ITNG.2007.101
Yampolskiy R(2007)Indirect Human Computer Interaction-Based Biometrics for Intrusion Detection Systems2007 41st Annual IEEE International Carnahan Conference on Security Technology10.1109/CCST.2007.4373481(138-145)Online publication date: Oct-2007
https://doi.org/10.1109/CCST.2007.4373481

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Palmprint and Finger-Knuckle-Print for efficient person recognition based on Log-Gabor filter response

A privacy-preserving cancelable iris template generation scheme using decimal encoding and look-up table mapping

Metacarpophalangeal joint patterns based personal identification system