- CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality
- Edited by Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi
Reflecting Users’ Physical Characteristics in Spatial Visualization
- Sumin Chae
- Hayoung Jo
- Bomin Kim
- Jin-Kook Lee
- © 2023 Author(s) |
- CC BY-NC 4.0
- DOI: 10.36253/979-12-215-0289-3.94
This paper aims to quickly and precisely visualize remodeled design images based on image generation AI so that they can be used as alternative images in the early stages of design. In order to create a space image suitable for the user, the contents of the text are proceeded as follows. Bathrooms with many accidents in the space were selected as the target space, and users were designated as elderly people with many physical changes. Learning image data for additional training was self-generated according to the user's body characteristics, and the learning data focused on musculoskeletal aging among the body characteristics of elderly users. When the image was generated using additional training models, it was confirmed that a meaningful spatial image was created for musculoskeletal aging users, and it can be expected that the spatial image for spatial remodeling can be obtained quickly and accurately without the help of experts through subsequent studies to make it easier for general users
- Keywords:
- Generative AI,
- Physical Characteristics,
- Elderly-friendly Bathroom,
- Detailed Modeling,
Yonsei University, Korea (the Republic of)
Yonsei University, Korea (the Republic of)
Yonsei University, Korea (the Republic of) - ORCID: 0009-0007-2500-3231
Yonsei University, Korea (the Republic of) - ORCID: 0000-0002-5179-6550
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Chapter Information
Chapter Title
Reflecting Users’ Physical Characteristics in Spatial Visualization
Authors
Sumin Chae, Hayoung Jo, Bomin Kim, Jin-Kook Lee
DOI
10.36253/979-12-215-0289-3.94
Peer Reviewed
Publication Year
2023
Copyright Information
© 2023 Author(s)
Content License
Metadata License
Bibliographic Information
Book Title
CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality
Book Subtitle
Managing the Digital Transformation of Construction Industry
Editors
Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi
Peer Reviewed
Publication Year
2023
Copyright Information
© 2023 Author(s)
Content License
Metadata License
Publisher Name
Firenze University Press
DOI
10.36253/979-12-215-0289-3
eISBN (pdf)
979-12-215-0289-3
eISBN (xml)
979-12-215-0257-2
Series Title
Proceedings e report
Series ISSN
2704-601X
Series E-ISSN
2704-5846