A Design of the Human-Shadow Play Interactive Experience Device Based on Kinect

Zhang Zi-ran; Song Wen-fang; Zhang Zu-yao

doi:10.12052/gdutxb.210082

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A Design of the Human-Shadow Play Interactive Experience Device Based on Kinect

更新时间：2026-05-27

- A Design of the Human-Shadow Play Interactive Experience Device Based on Kinect
- Vol. 39, Issue 3, Pages: 83-88(2022)
- 作者机构：
  
  1. 广东工业大学艺术与设计学院,广东,广州,510090
  2. 浙江理工大学艺术与设计学院,浙江,杭州,310000
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.210082
  CLC： TB472
- Online First：10 May 2022，
  
  Published：2022
- 稿件说明：
移动端阅览
张紫然, 宋文芳, 张祖耀. 基于Kinect的人体−皮影交互体验装置设计[J]. 广东工业大学学报, 2022, 39(3): 83-88.

Zhang Zi-ran, Song Wen-fang, Zhang Zu-yao. A Design of the Human-Shadow Play Interactive Experience Device Based on Kinect[J]. 2022, 39(3): 83-88.
张紫然, 宋文芳, 张祖耀. 基于Kinect的人体−皮影交互体验装置设计[J]. 广东工业大学学报, 2022, 39(3): 83-88. DOI： 10.12052/gdutxb.210082.

Zhang Zi-ran, Song Wen-fang, Zhang Zu-yao. A Design of the Human-Shadow Play Interactive Experience Device Based on Kinect[J]. 2022, 39(3): 83-88. DOI： 10.12052/gdutxb.210082.

摘要

皮影戏作为我国民间传统的艺术形式，具有重要的文化传承价值。然而在现代化发展道路上，皮影戏深受现代新娱乐方式的冲击，呈现演出市场疲软、后继无人、萎缩甚至消亡的局面，因此实现其现代化创新发展是目前急需探索的重要课题。基于此，设计了一种基于Kinect的人体−皮影交互体验装置，该装置中的皮影表演可由人体肢体动作控制，互动性强且操作简单。该装置通过Kinect捕捉人体动作，发出指令到安装于皮影关节处的舵机，由舵机控制皮影模仿人体运动。最后以人体左臂运动为例，测试了左臂运动角度与舵机运动角度，并计算了舵机运动的准确度。结果发现皮影左臂处的舵机跟随人体左臂运动的准确度为96.6%~99.8%，证明其具有较高的准确性和灵敏性。该装置具有较强的趣味性，有利于人们更好地理解和传承皮影文化。

Abstract

Shadow play is a traditional folk-art form in China

and it has an important cultural heritage value. However

it is deeply affected by the impact of the new modern entertainment methods. On the road of modernization

shadow play presents a situation of weak performance on market

few successors

facing shrinkage or even extinction. Therefore

the modernization and innovation of the shadow play are important topics. A human-shadow play experience device is proposed based on Kinect. The shadow play can be controlled by human movements

thus increasing its interactivity and fun. Specifically

the novel device can capture human movements via Kinect and send commands to the steering engines installed in the shadow joints

thus controlling the movements of the shadow. Finally

the movement angles of steering engines and those of human left arm are examined

and the motion accuracy of the steering engine calculated. Results demonstrate that the accuracy of the device ranges from 96.6% to 99.8%

indicating the device can achieve high accuracy and sensitivity. The device is highly entertaining and is conducive to people's better understanding and inheritance of shadow play culture.

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references

ZHONG X Q. The survival dilemma and modern innovation of contemporary shadow puppets art [J]. Journal of Chinese Culture, 2013(5): 131-135.

XIN Y X, ZOU M X. Exploring the idea of digital preservation and inheritance of shadow puppets art [J]. Home Drama, 2020(23): 48-50.

GAO X, SU Y L, WANG Z Y. Huaxian shadow puppets faces the dilemma of loss [J]. People's Weekly, 2018(12): 90-91.

ZHANG H C. Shadow moves with the exhibition educating and entertaining—Tangshan shadow performance in the touring exhibition[J] Identification and Appreciation to Cultural Relics, 2019(4): 133.

ZHAO S Z, BAO Y F, PAN S F, et al . On the protection and development of intangible cultural heritage by using AR—a case study of Daoqing shadow play in Huan county, Gansu [J ] . Journal of Lanzhou University of Arts and Science (Natural Sciences), 2017, 31(6): 89-92.

LIU H X. Research on the artistic characteristics and digitalization of shadow play in Jianghan plain [J]. Journal of Wuhan Textile University, 2020, 33(5): 3-7.

洪诗莹. 网络传播视域下的山东泰山皮影手机应用设计研究[D]. 济南: 山东大学, 2019.

TIAN Y Z, WANG G P, LI L, et al . A universal self-adaption workspace mapping method for human-robot interaction using Kinect sensor data [J ] . IEEE Sensors Journal, 2020, 20(14): 7918-7928.

LIU F L, ZENG W, YUAN C Z, et al . Kinect-based hand gesture recognition using trajectory information, hand motion dynamics and neural networks [J ] . Artificial Intelligence Review, 2019, 52(1): 563-583.

ASHWINI K, AMUTHA R. Compressive sensing-based recognition of human upper limb motions with Kinect skeletal data [J]. Multimedia Tools and Applications, 2021, 80: 1-19.

ZENG B, LIN Z P, DENG J H. Algorithm research on recognition and improvement for corridor of autonomous mobile robot [J]. Journal of Guangdong University of Technology, 2015, 33(5): 9-14.

GAO J X, CHEN Y N, LI F H. Kinect-based robotic arm platform for motion recognition tracking [J]. Science Technology Information, 2019, 17(15): 1-4.

XU J, MENG Y X, WANG T L, et al . Control system for humanoid robot based on Kinect [J ] . Transducer and Microsystem Technologies, 2017, 36(9): 97-100.

HU D L, KE H R, ZHANG W. Research on human body attitude recognition based on Kinect and ROS [J]. Chinese High Technology Letters, 2020, 30(2): 177-184.

WU Z M, HE H W, WU Y M. Baton-like attitude tracking based on mixed reality interaction [J]. Journal of Guangdong University of Technology, 2018, 35(3): 107-112.

WANG G, SUN T R, DING S P. Locally weighted learning control for dynamic restricted manipulators [J]. Journal of System Simulation, 2019, 31(4): 733-739.

LI Q, WANG X D, LI H. 3D human pose tracking approach based on double Kinect sensors [J]. Journal of System Simulation, 2020, 32(8): 1446-1454.

HUANG X F, SUN S Q, ZHANG K J, et al . A method of shadow puppet figure modeling and animation [J ] . Frontiers of Information Technology Electronic Engineering, 2015, 5: 367-379.

SHU J, HAMANO F, ANQUS J. Application of extended Kalman filter for improving the accuracy and smoothness of Kinect skeleton-joint estimates [J]. Journal of Engineering Mathematics, 2014, 88: 161-175.

CHIN L, EU K S, TAY T T, et al. A posture recognition model dedicated for differentiating between proper and improper sitting posture with Kinect sensor[C]// 2019 IEEE International Symposium on Haptic, Audio and Visual Environments and Games (HAVE). Subang Jaya: IEEE, 2019: 1-5.

LI P. Research on robot boxing movement simulation based on Kinect sensor [J]. EURASIP Journal on Wireless Communications and Networking, 2020, 147(1): 2-15.

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