Variability in Gesticulation Patterns: A Robust Framework for Recognizing Self-Co-articulated Dynamic Gestures

Authors

  • Shweta Saboo Ms.
  • Joyeeta Singha
  • Ritu Vyas

DOI:

https://doi.org/10.6977/IJoSI.202602_10(1).0003

Abstract

This paper presents a dynamic hand gesture recognition system which addresses the effects of variation in pattern hand gestures when gesticulated in different ways by various users. In the proposed system, a new set of features has been proposed which divides the gesture into two equal halves and feature extraction is done after removal of self-co-articulation. Efficiency of proposed system is checked on a new set of gestures recorded in ‘LNMIIT Dynamic Hand Gesture Dataset-4’ which consists of videos recorded according to different patterns. The performance of the proposed system is calculated with different features combined with individual as well as combination of classifiers like SVM, k-NN, Naïve Bayes, ANFIS and DA classifiers. It has been concluded that recognition accuracy of Naïve Bayes classifier comes out to be 93.13% which is best among all the classifiers. Recognition accuracy improves by about 10% with the increase in number of features.

Downloads

Published

2026-02-26

Issue

Vol. 10 No. 1 (2026): International Journal of Systematic Innovation

Section

Regular full papers

License

Copyright in a work is a bundle of rights. IJoSI's, copyright covers what may be done with the work in terms of making copies, making derivative works, abstracting parts of it for citation or quotation elsewhere and so on. IJoSI requires authors to sign over rights when their article is ready for publication so that the publisher from then on owns the work. Until that point, all rights belong to the creator(s) of the work. The format of IJoSI copy right form can be found at the IJoSI web site.
The issues of International Journal of Systematic Innovation (IJoSI) are published in electronic format and in print. Our website, journal papers, and manuscripts etc. are stored on one server. Readers can have free online access to our journal papers. Authors transfer copyright to the publisher as part of a journal publishing agreement, but have the right to:
1.    Share their article for personal use, internal institutional use and scholarly sharing purposes, with a DOI link to the version of record on our server.
2.    Retain patent, trademark and other intellectual property rights (including research data).
3.    Proper attribution and credit for the published work.