Wayang Robot with Gamelan Music Pattern Recognition
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- Tomo Tito Pradhono
- Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University
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- Schmitz Alexander
- Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University
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- Enriquez Guillermo
- Department of Applied Physics, School of Advanced Science and Engineering, Waseda University
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- Hashimoto Shuji
- Department of Applied Physics, School of Advanced Science and Engineering, Waseda University
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- Sugano Shigeki
- Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University
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Abstract
<p>This paper proposes a way to protect endangered wayang puppet theater, an intangible cultural heritage from Indonesia, by turning a robot into a puppeteer successor. We developed a seven degrees-of-freedom (DOF) manipulator to actuate the sticks attached to the wayang puppet body and hands. The robot can imitate 8 distinct human puppeteer’s manipulations. Furthermore, we developed a gamelan music pattern recognition, towards a robot that can perform based on the gamelan music. In the offline experiment, we extracted energy (time domain), spectral rolloff, 13 Mel-frequency cepstral coefficients (MFCCs), and the harmonic ratio from 5 s long clips, every 0.025 s, with a window length of 1 s, for a total of 2576 features. Two classifiers (3 layers feed-forward neural network (FNN) and multi-class Support Vector Machine (SVM)) were compared. The SVM classifier outperformed the FNN classifier with a recognition rate of 96.4% for identifying the three different gamelan music patterns.</p>
Journal
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- Journal of Robotics and Mechatronics
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Journal of Robotics and Mechatronics 29 (1), 137-145, 2017-02-20
Fuji Technology Press Ltd.
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Keywords
Details 詳細情報について
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- CRID
- 1390564238045101440
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- NII Article ID
- 130007519834
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- NII Book ID
- AA10809998
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- ISSN
- 18838049
- 09153942
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- NDL BIB ID
- 027998483
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed