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Research on Application of Gesture Recognition Technology in Traditional Puppet Show

  • Mu Zhang
  • Zhanjun Dong
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10919)

Abstract

This article uses gesture recognition technology to study the culture, structure and performing form of traditional Chinese puppet show. It aims at annotating traditional culture by using new media art language. Taking “Puppet” as an example, this article summarizes the characteristics of controlling the marionette under gesture recognition technology as well as the binding point design in both traditional way and new technology by analyzing the characters. Through communication and interviews with the inheritors of the intangible cultural heritage, this paper discusses the new and old performing form and controlling features. This research lowers the threshold of learning puppet show, and puppet show fans only need to use simple operations to perform complicated movements. The cost of learning the puppet show decreases because of HCI. This article annotates the traditional meaning of gesture control under new technology background by comparing the new and old controlling form.

Keywords

Traditional culture Gesture recognition Puppet show Puppet New media art 

References

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    Wang, Y., Gao, Y.: The world’s most advanced gesture recognition technology [EB/OL] (2018). https://www.leiphone.com/news/201502/QM7LdSN874dWXFLo.html

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Shandong University of Art and DesignHuaiyin, JinanChina

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