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SME feature-based classification of Adavu and posture images of Bharatanatyam dance

SME feature-based classification of Adavu and posture images of Bharatanatyam dance The Adavus are typical and fundamental postures in Bharatanatyam dance. Adavu is a predefined sequence of hands, legs and neck with pre-set body pose forms, which are studied under the guidance of experts, who are becoming scarce in these days. This paper proposes a three-stage approach for classification of Adavu images. In the first stage, contours of Adavus are obtained. In the second stage, the structural(S), moments(M) and eigen values(E) features, namely, intersections, symmetric property, width_height_difference, contour distance, Hu-moments and eigenvalues are obtained. ANN is used for classification of Adavus in third stage. A comparative study of classification accuracies of using different features is made. The envisaged applications of this research include e-learning of Adavus and Bharatanatyam dance, in particular, and various dances, in general, evaluation of Adavus exhibited by a performer for their accuracies, and automation of commentary during the concerts and the like. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Arts and Technology Inderscience Publishers

SME feature-based classification of Adavu and posture images of Bharatanatyam dance

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1754-8853
eISSN
1754-8861
DOI
10.1504/IJART.2020.112640
Publisher site
See Article on Publisher Site

Abstract

The Adavus are typical and fundamental postures in Bharatanatyam dance. Adavu is a predefined sequence of hands, legs and neck with pre-set body pose forms, which are studied under the guidance of experts, who are becoming scarce in these days. This paper proposes a three-stage approach for classification of Adavu images. In the first stage, contours of Adavus are obtained. In the second stage, the structural(S), moments(M) and eigen values(E) features, namely, intersections, symmetric property, width_height_difference, contour distance, Hu-moments and eigenvalues are obtained. ANN is used for classification of Adavus in third stage. A comparative study of classification accuracies of using different features is made. The envisaged applications of this research include e-learning of Adavus and Bharatanatyam dance, in particular, and various dances, in general, evaluation of Adavus exhibited by a performer for their accuracies, and automation of commentary during the concerts and the like.

Journal

International Journal of Arts and TechnologyInderscience Publishers

Published: Jan 1, 2020

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