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IJMLC 2011 Vol.1(4): 378-387 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2011.V1.56

Biometrics System based on Human Gait Patterns

Praveen Gupta, Rajendra Singh, Rohit Katiyar and Ritesh Rastogi

Abstract—Today’s commercially available biometric systems show good reliability. However, they generally lack user acceptance. In general, people favour systems with the least amount of interaction. Using gait as a biometric feature would lessen such problems since it requires no subject interaction other than walking by. Consequently, this would increase user acceptance. And since highly motivated users achieve higher recognition scores, it increases the overall recognition rate as well. The latest research on gait-based identification—identification by observation of a person’s walking style provides evidence that such a system is realistic and is likely to be developed and used in the years to come. This article outlines the application of gait technologies for security and other purposes. Gait analysis and recognition can form the basis of unobtrusive technologies for the detection of individuals who represent a security threat or behave suspiciously.

Index Terms—Gait Recognition System, Holistic Approach, Model Based Approaches, Pattern Recognition

PPraveen Gupta, Rajendra Singh and Rohit Katiyar are with Dept. CSE, PSIT, Kanpur, India. (e-mail: praveenporwal@gmail.com; rajendra.singh81@yahoo.co.in; rohit.katiyar@rediffmail.com)
Ritesh Rastogi is with MCA Dept., NIET, Noida, India. (e-mail: rit_ras@hotmail.com)


Cite: Praveen Gupta, Rajendra Singh, Rohit Katiyar and Ritesh Rastogi, "Biometrics System based on Human Gait Patterns ," International Journal of Machine Learning and Computing vol. 1, no. 4, pp. 378-387, 2011.

General Information

  • ISSN: 2010-3700 (Online)
  • Abbreviated Title: Int. J. Mach. Learn. Comput.
  • Frequency: Bimonthly
  • DOI: 10.18178/IJMLC
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
  • E-mail: ijmlc@ejournal.net

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