This piece of research explores the possibility of authenticating a subject on the basis of his very specific biometric identity - gait i.e. way of walking. It probes the Machine Learning paradigm to achieve the objectives with implementing model based on modification of a general purpose algorithm. The goal for the research work constitutes to establish the Gait Based Authentication System (GBAS) as a reliable and alternate means of authentication in the biometric domain. Further a Proof of Concept is also developed to showcase the studied observations.

Languages Used

  1. R
  2. C#
  3. Java

Learning Acquired

  1. Probabilistic Modelling
  2. Statistical Classification
  3. Data Mining Techniques
  4. Web Application Deployment

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