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)


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.


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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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