Evaluation of entropy features and classifier performance in person authentication using resting-state EEG
These results advance the design of portable EEG biometric devices while highlighting entropy features' scalability.
Authors
- Renhuan Yang (ORCID: https://orcid.org/0000-0002-0587-6250)
- Baoguo Xu (ORCID: https://orcid.org/0000-0001-7714-9645)
- Ling Zhang (ORCID: https://orcid.org/0000-0002-4881-3989)
- Boming Zhong
- Peng Yu
- Renyu Yang
- Li Hou (ORCID: https://orcid.org/0000-0003-1695-7985)
- Jinhui Peng
Institutions
- Jinan University (CN)
- Guangdong University Of Finances and Economics (CN)
- Guangzhou Vocational College of Science and Technology (CN)
- Guangdong University of Finance (CN)
- Yulin Orthopedics Hospital of Chinese and Western Medicine (CN)
- Southeast University (CN)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-11-04
- DOI
- https://doi.org/10.3389/fnins.2025.1651501
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00