TY - GEN
T1 - A Study on Metaverse Realistic Content Education Platform Using Deep Learning
AU - Lee, Hyunsook
AU - Youm, Sekyoung
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - Artificial intelligence technology combined with Metaverse Realistic Content (VR/AR Content) is a powerful combination that provides a diverse educational environment. Recent developments in artificial intelligence technology can enhance the quality of education without the help of assistants in immersive education and it can be seen as a field that can be developed in terms of resource efficiency and time saving by learning repetitive outcomes (success/failure). However, this combination has challenges. Currently, Unity’s Machine Learning Agent toolkit exists, but it has limitations for specific languages and specific environments and has additional learning challenges. In addition, it is difficult to realize that it is necessary to support various front-end frameworks and various hardware, and to support the entire combination. In addition, it is necessary to study connections between frameworks to support mobile devices and web environment. This problem has long been recognized in computer science and has been solved by compiler technology. In this paper, we propose a Framework Bridge Model based on LLVM IR (Low-level virtual machine intermediate representation) in VR/AR development environment, so that deep learning developers can choose the optimal combination of frameworks.
AB - Artificial intelligence technology combined with Metaverse Realistic Content (VR/AR Content) is a powerful combination that provides a diverse educational environment. Recent developments in artificial intelligence technology can enhance the quality of education without the help of assistants in immersive education and it can be seen as a field that can be developed in terms of resource efficiency and time saving by learning repetitive outcomes (success/failure). However, this combination has challenges. Currently, Unity’s Machine Learning Agent toolkit exists, but it has limitations for specific languages and specific environments and has additional learning challenges. In addition, it is difficult to realize that it is necessary to support various front-end frameworks and various hardware, and to support the entire combination. In addition, it is necessary to study connections between frameworks to support mobile devices and web environment. This problem has long been recognized in computer science and has been solved by compiler technology. In this paper, we propose a Framework Bridge Model based on LLVM IR (Low-level virtual machine intermediate representation) in VR/AR development environment, so that deep learning developers can choose the optimal combination of frameworks.
UR - http://www.scopus.com/inward/record.url?scp=85163997667&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-1252-0_41
DO - 10.1007/978-981-99-1252-0_41
M3 - Conference contribution
AN - SCOPUS:85163997667
SN - 9789819912513
T3 - Lecture Notes in Electrical Engineering
SP - 313
EP - 317
BT - Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE-CSA 2022
A2 - Park, Ji Su
A2 - Yang, Laurence T.
A2 - Pan, Yi
A2 - Pan, Yi
A2 - Park, Jong Hyuk
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th International Conference on Computer Science and its Applications, CSA 2022 and the 16th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2022
Y2 - 19 December 2022 through 21 December 2022
ER -