Cargando…
Person authentication based on eye-closed and visual stimulation using EEG signals
The study of Electroencephalogram (EEG)-based biometric has gained the attention of researchers due to the neurons’ unique electrical activity representation of an individual. However, the practical application of EEG-based biometrics is not currently widespread and there are some challenges to its...
Autores principales: | Yap, Hui Yen, Choo, Yun-Huoy, Mohd Yusoh, Zeratul Izzah, Khoh, Wee How |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505588/ https://www.ncbi.nlm.nih.gov/pubmed/34633582 http://dx.doi.org/10.1186/s40708-021-00142-4 |
Ejemplares similares
-
An evaluation of transfer learning models in EEG-based authentication
por: Yap, Hui Yen, et al.
Publicado: (2023) -
In-air Hand Gesture Signature Recognition: An iHGS Database Acquisition Protocol
por: Khoh, Wee How, et al.
Publicado: (2023) -
An EEG-Based Person Authentication System with Open-Set Capability Combining Eye Blinking Signals
por: Wu, Qunjian, et al.
Publicado: (2018) -
A Personalized User Authentication System Based on EEG Signals
por: Stergiadis, Christos, et al.
Publicado: (2022) -
Distraction descriptor for brainprint authentication modelling using probability-based Incremental Fuzzy-Rough Nearest Neighbour
por: Liew, Siaw-Hong, et al.
Publicado: (2023)