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Walking on the Cloud: Gait Recognition, a Wearable Solution

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Network and System Security (NSS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11058))

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Abstract

Biometrics and cloud computing are converging towards a common application context aiming at deploying biometric authentication as a remote service (Biometrics as a Service - BaaS). The advantages for the final user is to be relieved from the burden related to acquire/maintain specific software, and to gain the ability of building personalized applications where biometric services can be embedded through suitable cloud APIs. Gait is one of the promising biometric traits that can be investigated in this scenario. In particular, this paper deals with the processing techniques based on wearable sensors, e.g., accelerometers. These sensors are nowadays ubiquitous in mobile devices, and allow the acquisition of lightweight signals that can be sent remotely for processing. As an example of possible applications, a positive recognition may automatically allow access to restricted zones without an explicit action by the user, that has just to approach the entrance walking normally.

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Notes

  1. 1.

    https://tools.ietf.org/html/rfc5246.

  2. 2.

    https://docs.microsoft.com/en-us/azure/cognitive-services/welcome.

  3. 3.

    http://www.fujitsu.com/us/services/application-services/saas/biometrics-as-a-service/.

  4. 4.

    https://www.aware.com/category/biometrics-as-a-service-baas/.

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Author information

Authors and Affiliations

  1. University of Salerno, Salerno, Italy

    Aniello Castiglione

  2. The University of Texas at San Antonio, San Antonio, TX, 78249, USA

    Kim-Kwang Raymond Choo

  3. Sapienza University of Rome, Rome, Italy

    Maria De Marsico & Alessio Mecca

Authors
  1. Aniello Castiglione
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  2. Kim-Kwang Raymond Choo
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  3. Maria De Marsico
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  4. Alessio Mecca
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Corresponding author

Correspondence to Maria De Marsico .

Editor information

Editors and Affiliations

  1. The Hong Kong Polytechnic University, Hong Kong, China

    Man Ho Au

  2. The University of Hong Kong, Hong Kong, China

    Siu Ming Yiu

  3. Guangzhou University, Guangzhou, China

    Jin Li

  4. The Hong Kong Polytechnic University, Hong Kong, China

    Xiapu Luo

  5. City University of Hong Kong, Hong Kong, China

    Cong Wang

  6. University of Salerno and University of Naples Federico II, Fisciano, Italy

    Aniello Castiglione

  7. CISPA Helmholtz Center i.G. GmbH, Saarbrücken, Germany

    Kamil Kluczniak

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Castiglione, A., Choo, KK.R., De Marsico, M., Mecca, A. (2018). Walking on the Cloud: Gait Recognition, a Wearable Solution. In: Au, M., et al. Network and System Security. NSS 2018. Lecture Notes in Computer Science(), vol 11058. Springer, Cham. https://doi.org/10.1007/978-3-030-02744-5_13

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  • DOI: https://doi.org/10.1007/978-3-030-02744-5_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02743-8

  • Online ISBN: 978-3-030-02744-5

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