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A Customizable No-Code Realistic Motion Editor for VRM-Based Avatars

Author

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  • Po-Hsun Cheng

    (Department of Software Engineering and Management, National Kaohsiung Normal University, Kaohsiung 82444, Taiwan)

  • Li-Wei Chen

    (Department of Software Engineering and Management, National Kaohsiung Normal University, Kaohsiung 82444, Taiwan)

  • Chia-Hsuan Lin

    (Department of Software Engineering and Management, National Kaohsiung Normal University, Kaohsiung 82444, Taiwan)

Abstract

Avatar actions can be captured using certain gesture sensors or can be predefined by game designers through desktop applications. In other words, developing an online avatar editor could be necessary to specify the detailed actions for use by people who are not game creators. Our research team proposed a web-based toolset, myKLA, to construct and design avatar actions with editor and player features. The goal of myKLA is to help users define the required behaviors of avatars within a set time frame without codes. We used cyber–physical system theory in a software reconstruction initiative. Additionally, an exchangeable JSON file format for predefining the avatar actions was opened and shared here. Furthermore, the cyclomatic complexity of the main code blocks in our toolset was measured and changed using the McCabe approach to fine-tune the performance. An algorithm was proposed for quickly calculating an integrated activity diagram from several sub-activity diagrams. Our research showed that it is easy to create an avatar head and embed it in other web-based applications for additional interaction utilization. Therefore, our findings will be useful in creating and designing new educational tools.

Suggested Citation

  • Po-Hsun Cheng & Li-Wei Chen & Chia-Hsuan Lin, 2023. "A Customizable No-Code Realistic Motion Editor for VRM-Based Avatars," Sustainability, MDPI, vol. 15(2), pages 1-13, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1182-:d:1029056
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    References listed on IDEAS

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    1. Xinxin Xu & Zengyou Zhang & Yan Liang & Liya Wang & Chunlai Chai, 2022. "Topological Structure Analysis of Software Using Complex Network Theory," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-11, May.
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