Skip to main content

Introduction to Gait Biometrics

  • Chapter
  • First Online:
  • 1609 Accesses

Abstract

Over the past several decades national security concerns and the need to deter increasingly sophisticated fraudsters have driven the demand for a new generation of reliable person identification tools. Traditional identification technologies have been built around something a person has (such as an identification card) or something a person knows (such as a password), but to improve reliability, newer technologies are increasingly including something a person is, the physical and behavioral characteristics that define an individual. As technology continues to improve, the automatic recognition of a person based on physical or behavioral characteristics, referred to as biometric recognition ,used to assist with seems destined to have a profound impact on physical and cyber security while we progress through the twenty-first century.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Cattin, Philippe C. 2002. Biometric authentication system using human gait. Ph.D Thesis, Swiss Federal Institute of Technology, Zurich, Switzerland.

    Google Scholar 

  2. de Leeuw, Karl, and Jan Bergstra (eds.). 2007. The History of Information Security—A Comprehensive Handbook, 1st ed. Elsevier Science.

    Google Scholar 

  3. Juang, Biing-Hwang, and Lawrence R. Rabiner. 2005. Automatic speech recognition—A brief history of the technology development, 2nd ed. Elsevier Encyclopedia of Language and Linguistics.

    Google Scholar 

  4. Mohd-Isa, Wan-Noorshahida, Junaidi Abdullah, and Chikkanan Eswaran. 2012. Classification of gait biometric on identical twins. Journal of Advanced Computer Science Technology Research 2(4): 166–175.

    Google Scholar 

  5. Moustakidis, Serafeim P., John B. Theocharis, and Giannis Giakas. 2008. Subject recognition based on ground reaction force measurements of gait signals. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics 38(6): 1476–1485.

    Google Scholar 

  6. Murray, Mary Patricia. 1967. Gait as a total pattern of movement. American Journal of Physical Medicine 46(1): 290–332.

    Google Scholar 

  7. Nixon, Mark S., Tieniu Tan, and Rama Chellappa. 2006. Human Identification Based on Gait. New York: Springer.

    Google Scholar 

  8. Nixon, Mark S., and John N. Carter. 2004. Automatic gait recognition for human Id at a distance, University of Southhampton, London. Technical Report 2004.

    Google Scholar 

  9. Roberts, Chris, 2007. Biometric attack vectors and defenses. Computers & Security 26(1): 14–25.

    Google Scholar 

  10. Rodríguez, Rubén Vera, Nicholas W.D. Evans, Richard P. Lewis, Benoit Fauve, and John S.D. Mason. 2007. An experimental study on the feasibility of footsteps as a biometric. In 15th European Signal Processing Conference (EUSIPCO 2007), 748–752, Poznan.

    Google Scholar 

  11. Rodríguez, Rubén Vera, John S.D. Mason, and Nicholas W.D. Evans. 2008. Footstep recognition for a smart home environment. International Journal of Smart Home 2(2): 95–110.

    Google Scholar 

  12. Taylor, Amanda J., Hylton B. Menz, and Anne-Maree Keenan. 2004. The influence of walking speed on plantar pressure measurements using the two-step gait initiation protocol. The Foot 14(1): 49–55.

    Google Scholar 

  13. Yampolskiy, Roman V. 2008. Behavioral modeling: an overview. American Journal of Applied Sciences 5(5): 496–503.

    Google Scholar 

  14. Yampolskiy, Roman V., and Venu Govindaraju. 2007. Direct and indirect human computer interaction based biometrics. Journal of Computers 2(10): 76–88.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to James Eric Mason .

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Mason, J.E., Traoré, I., Woungang, I. (2016). Introduction to Gait Biometrics. In: Machine Learning Techniques for Gait Biometric Recognition. Springer, Cham. https://doi.org/10.1007/978-3-319-29088-1_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-29088-1_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29086-7

  • Online ISBN: 978-3-319-29088-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics