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Erschienen in:
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2018 | OriginalPaper | Buchkapitel

An Empirical Analysis of Three Moments on Sattriya Dance Single-Hand Gestures Dataset

verfasst von : Mampi Devi, Sarat Saharia

Erschienen in: Advances in Electronics, Communication and Computing

Verlag: Springer Singapore

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Abstract

The single-hand gestures of Indian classical dance are termed as ‘Asamyukta Hastas,’ which is a combination of two Sanskrit words, asamyukta meaning ‘single’ and hastas meaning ‘hand gestures’. There are eight officially recognized classical dance forms in India. This paper focuses on the 29 single-hand gestures of Sattriya dance which is one of the Indian classical dance forms. It presents an analysis on recognition of single-hand gestures of Sattriya dance form images using different classifiers such as k-nearest neighbor (k-NN), naive Bayes, Bayesian network, decision tree, and Support Vector Machine (SVM). In this work, we have used Hu’s seven invariant moments, Zernike moments, and Legendre moments up to tenth order each. In this analysis, it indicates that Legendre moments show a better performance compared to other moments for all variation of dataset, and could achieve an accuracy of 96.03%.

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Metadaten
Titel
An Empirical Analysis of Three Moments on Sattriya Dance Single-Hand Gestures Dataset
verfasst von
Mampi Devi
Sarat Saharia
Copyright-Jahr
2018
Verlag
Springer Singapore
Buch
Advances in Electronics, Communication and Computing

Print ISBN: 978-981-10-4764-0

Electronic ISBN: 978-981-10-4765-7

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-981-10-4765-7_69

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