News Updates Tuesday 19th Mar 2019 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission last date of March/April 2019 is 15 March 2019, Submit online or at
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

Feature Emulation and Cluster Analysis to Discern Gait-A Maiden towards Progression

Author : Riant Kaur and Heena

Pages : 89-95
Download PDF

Every individual has its own style of walking. It varies from person to person. A person can be identified by its walking style which is termed as Gait. This is a better way of identification as it is associated just with the individual and not with the surpassing information from one place to another in the background. In this dissertation, we work on live home videos in MATLAB which are converted into frames and each frame is being worked upon. Hanavan’s model has been introduced for feature extraction, extracting six anthropometric parameters giving clear discrimination among various individuals. Feature detection and feature matching is executed by implementing SURF detector which augments the accuracy. SVM classifier is used for separability of extracted features. It is enhanced by implementing K-means clustering analysis algorithm and MDA (multi-linear discriminant analysis framework) in recognition phase producing CCR (Correct Classification Rate), matching time, MSE (Mean Square error) and PSNR (Peak Signal to Noise ratio) comparisons. Therefore, these techniques give faster results and better accuracy.

Keywords: Feature extraction, Gait Pal and Pal Entropy (GPPE), Hanavan’s model, Speed up Robust Feature detector (SURF), Support Vector Machine (SVM), K-Means Clustering iterative algorithm, Multi-linear Discriminant Analysis (MDA).

Article published in International Journal of Current Engineering and Technology, Vol.6, No.1 (Feb-2016)


Call for Papers
  1. IJCET- March/April 2019 Issue

    Submission Last Date
    22 March
  2. DOI is given to all articles
  3. Current Issue
  4. IJTT-March-2019
  5. IJAIE-March-2019
  6. IJCSB-March-2019
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2018 INPRESSCO® All Rights Reserved