2015Unpublished venueRequires access

Indonesian puppet theater robot with gamelan music emotion recognition

Tito Pradhono Tomo, Guillermo Enriquez, Shuji Hashimoto

Open publisher page 8 citations

Abstract

In this paper, we propose to protect wayang puppet theater, an intangible cultural heritage from Indonesia by turning a robot into a puppeteer successor. We developed a seven degrees-of-freedom manipulator to actuate sticks attached to the wayang puppet body and hands. We also developed a gamelan music emotion recognition so that the robot could control its movement based on the musical pattern. The robot could imitate some of the puppeteer's manipulations and correctly recognized by a human for around 80% in overall. The experiments also revealed that the algorithm had overall over than 90% recognition rate for identifying the delighted song, afraid song and noise.

About this research paper

What this paper is about

In this paper, we propose to protect wayang puppet theater, an intangible cultural heritage from Indonesia by turning a robot into a puppeteer successor. We developed a seven degrees-of-freedom manipulator to actuate sticks attached to the wayang puppet body and hands. We also developed a gamelan music emotion recognition so that the robot could control its movement based on the musical pattern. The robot could imitate some of the puppeteer's manipulations and correctly recognized by a human for around 80% in overall. The experiments also revealed that the algorithm had overall over than 90% recognition rate for identifying the delighted song, afraid song and noise.

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OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, we propose to protect wayang puppet theater, an intangible cultural heritage from Indonesia by turning a robot into a puppeteer successor. We developed a seven degrees-of-freedom manipulator to actuate sticks attached to the wayang puppet body and hands. We also developed a gamelan music emotion recognition so that the robot could control its movement based on the musical pattern. The robot could imitate some of the puppeteer's manipulations and correctly recognized by a human for around 80% in overall. The experiments also revealed that the algorithm had overall over than 90% recognition rate for identifying the delighted song, afraid song and noise.

Key concepts: Successor cardinal, Indonesian, Robot, Musical, Computer science, Psychology, Speech recognition, Visual arts

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