Gesture Identification Model In Traditional Indian Performing Arts By Employing Image Processing Techniques

Authors

  • Jyoti PG Student, Dept. of Computer Science and Engineering, Visvesvaraya Technological University, CPGS Kalaburagi, Karnataka, India
  • Swaroopa Shastri Asst.Professor, Dept. of Computer Science and Engineering, Visvesvaraya Technological University, CPGS Kalaburagi, Karnataka, India

DOI:

https://doi.org/10.61808/jsrt89

Keywords:

Mudra, Kathakali, feature extraction, classification

Abstract

Classical dance forms are an integral part of the Indian culture and heritage. Kathakali is an Indian classical dance composed of complex hand gestures, body moments, facial expressions and background music. Kathakali mudras are difficult to understand common peoples. There are 24 classes of hand gestures. The images of hand mudras of kathakali dance are collected from the dataset. The proposed work explores the possibilities of recognizing classical dance mudras in kathakali dance forms in india. This system has achieved an accuracy of 84% with Convolutional Neural Network for classifying the mudras.

Published

20-03-2024

How to Cite

Jyoti, & Swaroopa Shastri. (2024). Gesture Identification Model In Traditional Indian Performing Arts By Employing Image Processing Techniques. Journal of Scientific Research and Technology, 2(3), 29–33. https://doi.org/10.61808/jsrt89

Issue

Section

Articles