Evaluation of features and channels of electroencephalographic signals for biometric systems
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Evaluation of features and channels of electroencephalographic signals for biometric systems ; volume:2024 ; number:1 ; day:1 ; month:5 ; year:2024 ; pages:1-24 ; date:12.2024
EURASIP journal on advances in signal processing / European Association for Speech, Signal and Image Processing ; 2024, Heft 1 (1.5.2024), 1-24, 12.2024
- Creator
-
Carrión-Ojeda, Dustin
Martínez-Arias, Paola
Fonseca-Delgado, Rigoberto
Pineda, Israel
Mejía-Vallejo, Héctor
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s13634-024-01155-x
- URN
-
urn:nbn:de:101:1-2409232121251.992755957207
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:37 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Carrión-Ojeda, Dustin
- Martínez-Arias, Paola
- Fonseca-Delgado, Rigoberto
- Pineda, Israel
- Mejía-Vallejo, Héctor
- SpringerLink (Online service)
Other Objects (12)
Biometric analysis of the cranial features of common voles
Mapping of Spatiotemporal Auricular Electrophysiological Signals Reveals Human Biometric Clusters
Signal-level Fusion for Indexing and Retrieval of Facial Biometric Data
A novel multisensoric system recording and analyzing human biometric features for biometric and biomedical applications
Development of individual identification method using thoracic vertebral features as biometric fingerprints
Biometric animals
Biometric myths
Learning Biometric Representations with Mutually Independent Features Using Convolutional Autoencoders
An investigation of the predictability of the Brazilian three-modal hand-based behavioural biometric: a feature selection and feature-fusion approach
Using beat-to-beat heart signals for age-independent biometric verification
Biometric cryptosystems : authentication, encryption and signature for biometric identities
An integrated biometric voice and facial features for early detection of Parkinson’s disease
Biometric analysis of the cranial features of common voles
Mapping of Spatiotemporal Auricular Electrophysiological Signals Reveals Human Biometric Clusters
Signal-level Fusion for Indexing and Retrieval of Facial Biometric Data
A novel multisensoric system recording and analyzing human biometric features for biometric and biomedical applications
Development of individual identification method using thoracic vertebral features as biometric fingerprints
Biometric animals
Biometric myths
Learning Biometric Representations with Mutually Independent Features Using Convolutional Autoencoders
An investigation of the predictability of the Brazilian three-modal hand-based behavioural biometric: a feature selection and feature-fusion approach
Using beat-to-beat heart signals for age-independent biometric verification
Biometric cryptosystems : authentication, encryption and signature for biometric identities
An integrated biometric voice and facial features for early detection of Parkinson’s disease
Biometric analysis of the cranial features of common voles
Mapping of Spatiotemporal Auricular Electrophysiological Signals Reveals Human Biometric Clusters
Signal-level Fusion for Indexing and Retrieval of Facial Biometric Data
A novel multisensoric system recording and analyzing human biometric features for biometric and biomedical applications
Development of individual identification method using thoracic vertebral features as biometric fingerprints
Biometric animals
Biometric myths
Learning Biometric Representations with Mutually Independent Features Using Convolutional Autoencoders
An investigation of the predictability of the Brazilian three-modal hand-based behavioural biometric: a feature selection and feature-fusion approach
Using beat-to-beat heart signals for age-independent biometric verification
Biometric cryptosystems : authentication, encryption and signature for biometric identities