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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Devi, M., Saharia, S. (2018). An Empirical Analysis of Three Moments on Sattriya Dance Single-Hand Gestures Dataset. In: Kalam, A., Das, S., Sharma, K. (eds) Advances in Electronics, Communication and Computing. Lecture Notes in Electrical Engineering, vol 443. Springer, Singapore. https://doi.org/10.1007/978-981-10-4765-7_69
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DOI: https://doi.org/10.1007/978-981-10-4765-7_69
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