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Gait-Based Authentication System

  • Vivek Kumar
  • Chirag Gupta
  • Vatsal Agarwal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 755)

Abstract

This paper deals with developing a method for classifying people based on data collected through their gait patterns. This paper presents a biometric user authentication based on a person’s gait. This approach uses the accelerometer for capturing raw data to be evaluated on a machine learning model for identifying the person and various algorithms are used so as to obtain the highest precision.

References

  1. 1.
    FVC2006: the fourth international fingerprint verification competition. http://bias.csr.unibo.it/fvc2006/results/O_res_db2_a.asp (2017). Accessed 28 Mar 2017
  2. 2.
    Abeni, P., Baltatu, P., D’Alessandro, R.: A face recognition system for mobile phones. ISSE 2006 Secur. Electro. Busin. Process. 211–217, Oct 2006Google Scholar
  3. 3.
    Fish, D.J., Nielsen, J.: Clinical assessment of human gait. J. Prosthet. Orthot. 2, Apr 1993Google Scholar
  4. 4.
    Shotton, J., Sharp, T., Kohli, P.: Decision Jungles: Compact and Rich Models for ClassificationGoogle Scholar
  5. 5.
  6. 6.
    Murthy, K.V.S., Salzberg, S.L.: On growing better decision trees from data. Ph.D. thesis, John Hopkins University (1995)Google Scholar
  7. 7.
    Platt, J.C., Cristianini, N., Shawe-Taylor, J.: Large margin DAGs for multiclass classification. In: Proceedings of NIPS 547–553 (2000)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of CSEMoradabad Institute of TechnologyMoradabadIndia
  2. 2.Department of CSEUniversity of Petroleum & Energy StudiesDehradunIndia

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