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Biometric-Based Physical and Cybersecurity Systems pp 233–253Cite as

Facets and Promises of Gait Biometric Recognition

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Abstract

The emerging field of behavior biometrics has prompted a re-examination of many previously overlooked human characteristics. One such characteristic that has traditionally undergone analysis in the medical realm is the gait biometric. Gait biometrics refer to the unique aspects of human locomotion that can be captured and used for recognition purposes. These biometrics offer a number of potential advantages over other traditional biometrics in their abilities to be detected at a distance and with little-to-no obtrusion to the subject of the analysis. The gait biometric also offers another potential advantage over many traditional biometrics because it is inherently difficult to spoof the complicated set of actions that compose the human gait. This chapter discusses the various approaches that have been used to perform recognition via the gait biometric and examines the performance and implications that might be expected when applying the gait biometric to a real-world scenario.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada

    James Eric Mason & Issa Traore

  2. Department of Computer Science, Ryerson University, Toronto, ON, Canada

    Isaac Woungang

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  1. James Eric Mason
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  2. Issa Traore
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  3. Isaac Woungang
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Correspondence to James Eric Mason .

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Editors and Affiliations

  1. ECE Department, Nazrabayev University, Astana, Kazakhstan

    Mohammad S. Obaidat

  2. Department of Electrical and Computer Engineering, University of Victoria – UVIC, Victoria, BC, Canada

    Issa Traore

  3. Department of Computer Science, Ryerson University, Toronto, ON, Canada

    Isaac Woungang

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Mason, J.E., Traore, I., Woungang, I. (2019). Facets and Promises of Gait Biometric Recognition. In: Obaidat, M., Traore, I., Woungang, I. (eds) Biometric-Based Physical and Cybersecurity Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-98734-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-98734-7_9

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