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Preliminary result on gesture recognition of Sigeh Penguten Dance using Hidden Markov Model | IEEE Conference Publication | IEEE Xplore

Preliminary result on gesture recognition of Sigeh Penguten Dance using Hidden Markov Model


Abstract:

In this paper, an implementation of gesture recognition using Hidden Markov Model to classify particular gestures on Sigeh Penguten traditional Dance is presented. The pr...Show More

Abstract:

In this paper, an implementation of gesture recognition using Hidden Markov Model to classify particular gestures on Sigeh Penguten traditional Dance is presented. The preliminary research is focused on recognition of dancers' hand gestures, i.e. `Sembah Depan', `Sembah Kiri', and `Sembah Kanan' gestures based on their collected hands marker positions. The experimental results show that the proposed approach is able to classify the three mentioned gestures even with only the hands' positions to a certain degree. However, the reliability of the proposed approach requires further improvement.
Date of Conference: 03-04 October 2016
Date Added to IEEE Xplore: 13 February 2017
ISBN Information:
Electronic ISSN: 2470-640X
Conference Location: Bandung, Indonesia

References

References is not available for this document.