MetaAcuPoint: MetaHuman-Generated Synthetic Data for Hand Acupoint Localization
MetaAcuPoint demonstrates the first example of synthetic-to-real generalization for hand acupoint localization. By combining photorealistic rendering with anatomically grounded annotation, the dataset offers a reliable resource to promote standardized, data-driven approaches in acupuncture research and practice.
Authors
- Myunggi Yi (ORCID: https://orcid.org/0000-0003-4864-959X)
- Byeong-Il Lee (ORCID: https://orcid.org/0000-0002-1574-7145)
- Nuwan Madusanka (ORCID: https://orcid.org/0000-0001-7982-1036)
- Hi‐Joon Park (ORCID: https://orcid.org/0000-0002-0538-2664)
- H.M.K.K.M.B. Herath (ORCID: https://orcid.org/0000-0002-1873-768X)
- Chang-Su Na (ORCID: https://orcid.org/0000-0001-5478-649X)
- Prathiksha Padmanabha (ORCID: https://orcid.org/0009-0009-6758-9677)
- Kasunika Guruge (ORCID: https://orcid.org/0000-0001-6641-9320)
Institutions
- Dongshin University (KR)
- Kyung Hee University (KR)
- Pukyong National University (KR)
Publication Details
- Journal
- Healthcare
- Published
- 2025-11-27
- DOI
- https://doi.org/10.3390/healthcare13233093
- Primary Topic
- Acupuncture Treatment Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- Pukyong National University
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea