A Novel Framework for Cross-User Open-Set Myoelectric Pattern Recognition
Our work offers a valuable solution for improving the robustness and usability of myoelectric gestural interfaces.
Authors
- Ge Gao (ORCID: https://orcid.org/0000-0002-9907-8216)
- Le Wu (ORCID: https://orcid.org/0000-0002-8565-9626)
- Xu Zhang (ORCID: https://orcid.org/0000-0002-1533-4340)
- Xiang Chen (ORCID: https://orcid.org/0000-0001-8259-4815)
- Zhang Chen (ORCID: https://orcid.org/0000-0001-5531-0872)
Institutions
- University of Science and Technology of China (CN)
- Flex (United States) (US)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-04-14
- DOI
- https://doi.org/10.1109/tbme.2025.3560695
- Primary Topic
- Hand Gesture Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00