Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
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Dance Recognition System of Sigeh Penguten Traditional Dance based on Hidden Markov Model
Aciek Ida Wuryandari, Maria Shusanti Febrianti, Khairurijal Alfathdyanto, Marzuki Syahfirin, Agus Sukoco, Egi Muhamad Idris Hidayat, Ary Setijadi Prihatmanto and Carmadi Machbub
Page: 8668-8675 | Received 21 Sep 2022, Published online: 21 Sep 2022
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Abstract
Culture is one of the characteristics created by a group of people inherited from generation to generation. Among various kinds of cultural diversity in Indonesia, cultural arts are one of the cultural riches admired by other countries as well as on dance. Indonesian traditional dance, one of them is Sigeh Penguten dance is a typical dance from Lampung Province to welcome honored guests at certain occasions. Therefore, it is necessary to maintain its sustainability by modeling the dance using the Hidden Markov Model with the representation of the skeleton taken using the Kinect V2 camera. In this research, the phrase modeling using HMM is done on several phrases. The results of the phrase recognition on the dance model were built using Hidden Markov Model (HMM). The results of the dance recognition of the Sigeh Penguten traditional dance will be simulated on the 3D character of the Sigeh Penguten dancer. Motion simulation is generated from the transformation of data in the form of movements from humans to 3D characters.
How to cite this article:
Aciek Ida Wuryandari, Maria Shusanti Febrianti, Khairurijal Alfathdyanto, Marzuki Syahfirin, Agus Sukoco, Egi Muhamad Idris Hidayat, Ary Setijadi Prihatmanto and Carmadi Machbub. Dance Recognition System of Sigeh Penguten Traditional Dance based on
Hidden Markov Model.
DOI: https://doi.org/10.36478/jeasci.2019.8668.8675
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.8668.8675