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Main Authors: Tanberk, Senem, Tukel, Dilek Bilgin, Acar, Kadir
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2407.18934
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author Tanberk, Senem
Tukel, Dilek Bilgin
Acar, Kadir
author_facet Tanberk, Senem
Tukel, Dilek Bilgin
Acar, Kadir
contents In the context of Industry 4.0, digital twin technology has emerged with rapid advancements as a powerful tool for visualizing and analyzing industrial assets. This technology has attracted considerable interest from researchers across diverse domains such as manufacturing, security, transportation, and gaming. The metaverse has emerged as a significant enabler in these domains, facilitating the integration of various technologies to create virtual replicas of physical assets. The utilization of 3D character animation, often referred to as avatars, is crucial for implementing the metaverse. Traditionally, costly motion capture technologies are employed for creating a realistic avatar system. To meet the needs of this evolving landscape, we have developed a modular framework tailored for asset digital twins as a more affordable alternative. This framework offers flexibility for the independent customization of individual system components. To validate our approach, we employ the English peg solitaire game as a use case, generating a solution tree using the breadth-first search algorithm. The results encompass both qualitative and quantitative findings of a data-driven 3D animation system utilizing motion primitives. The presented methodologies and infrastructure are adaptable and modular, making them applicable to asset digital twins across diverse business contexts. This case study lays the groundwork for pilot applications and can be tailored for education, health, or Industry 4.0 material development.
format Preprint
id arxiv_https___arxiv_org_abs_2407_18934
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The Design of a 3D Character Animation System for Digital Twins in the Metaverse
Tanberk, Senem
Tukel, Dilek Bilgin
Acar, Kadir
Human-Computer Interaction
Artificial Intelligence
Software Engineering
In the context of Industry 4.0, digital twin technology has emerged with rapid advancements as a powerful tool for visualizing and analyzing industrial assets. This technology has attracted considerable interest from researchers across diverse domains such as manufacturing, security, transportation, and gaming. The metaverse has emerged as a significant enabler in these domains, facilitating the integration of various technologies to create virtual replicas of physical assets. The utilization of 3D character animation, often referred to as avatars, is crucial for implementing the metaverse. Traditionally, costly motion capture technologies are employed for creating a realistic avatar system. To meet the needs of this evolving landscape, we have developed a modular framework tailored for asset digital twins as a more affordable alternative. This framework offers flexibility for the independent customization of individual system components. To validate our approach, we employ the English peg solitaire game as a use case, generating a solution tree using the breadth-first search algorithm. The results encompass both qualitative and quantitative findings of a data-driven 3D animation system utilizing motion primitives. The presented methodologies and infrastructure are adaptable and modular, making them applicable to asset digital twins across diverse business contexts. This case study lays the groundwork for pilot applications and can be tailored for education, health, or Industry 4.0 material development.
title The Design of a 3D Character Animation System for Digital Twins in the Metaverse
topic Human-Computer Interaction
Artificial Intelligence
Software Engineering
url https://arxiv.org/abs/2407.18934