20.9.8.1 Brain Waves, EEG Analysis, Electroencephalogram for Biometrics

Chapter Contents (Back)
Cortex. Electroencephalogram. EEG. Biometrics.
See also ECG, Electrocardiogram for Biometrics.
See also EEG-MRI, EEG-fMRI, Combined Analysis.

Marcel, S.[Sebastien], del R. Millan, J.[Jose],
Person Authentication Using Brainwaves (EEG) and Maximum A Posteriori Model Adaptation,
PAMI(29), No. 4, April 2007, pp. 743-752.
IEEE DOI 0703
EEG for biometrics. Some tasks are more appropriate for authentication than others. BibRef

Palaniappan, R., Mandic, D.P.,
Biometrics from Brain Electrical Activity: A Machine Learning Approach,
PAMI(29), No. 4, April 2007, pp. 738-742.
IEEE DOI 0703
BibRef

Yeom, S.K.[Seul-Ki], Suk, H.I.[Heung-Il], Lee, S.W.[Seong-Whan],
Person authentication from neural activity of face-specific visual self-representation,
PR(46), No. 4, April 2013, pp. 1159-1169.
Elsevier DOI 1301
Biometrics; Person authentication; Electroencephalography (EEG); Face-specific visual self representation BibRef

Fraschini, M., Hillebrand, A., Demuru, M., Didaci, L., Marcialis, G.L.,
An EEG-Based Biometric System Using Eigenvector Centrality in Resting State Brain Networks,
SPLetters(22), No. 6, June 2015, pp. 666-670.
IEEE DOI 1411
Band-pass filters BibRef

Das, R., Maiorana, E., Campisi, P.,
EEG Biometrics Using Visual Stimuli: A Longitudinal Study,
SPLetters(23), No. 3, March 2016, pp. 341-345.
IEEE DOI 1603
biometrics (access control) BibRef

Moore, S.K.,
'Brainprint' biometric id hits 100% accuracy,
Spectrum(53), No. 6, June 2016, pp. 14-14.
IEEE DOI 1606
News item. BibRef

Maiorana, E.[Emanuele], Solé-Casals, J.[Jordi], Campisi, P.[Patrizio],
EEG signal preprocessing for biometric recognition,
MVA(27), No. 8, November 2016, pp. 1351-1360.
Springer DOI 1612
BibRef

Maiorana, E.[Emanuele], Rocca, D.L., Campisi, P.[Patrizio],
Cognitive biometric cryptosystems a case study on EEG,
WSSIP15(125-128)
IEEE DOI 1603
biometrics (access control) BibRef

Yang, S.[Su], Deravi, F.[Farzin],
On the Usability of Electroencephalographic Signals for Biometric Recognition: A Survey,
HMS(47), No. 6, December 2017, pp. 958-969.
IEEE DOI 1712
BibRef
Earlier:
Novel HHT-Based Features for Biometric Identification Using EEG Signals,
ICPR14(1922-1927)
IEEE DOI 1412
Biometrics, Biometrics (access control), Classification, Electrodes, Electroencephalography, Feature extraction, usability BibRef

Liew, S.H.[Siaw-Hong], Choo, Y.H.[Yun-Huoy], Low, Y.F.[Yin Fen], Yusoh, Z.I.M.[Zeratul I. Mohd],
EEG-based biometric authentication modelling using incremental fuzzy-rough nearest neighbour technique,
IET-Bio(7), No. 2, March 2018, pp. 145-152.
DOI Link 1802
BibRef

Suppiah, R.[Ravi], Vinod, A.P.[Achutavarrier Prasad],
Biometric identification using single channel EEG during relaxed resting state,
IET-Bio(7), No. 4, July 2018, pp. 342-348.
DOI Link 1807
BibRef

Özdenizci, O., Wang, Y., Koike-Akino, T., Erdogmus, D.,
Adversarial Deep Learning in EEG Biometrics,
SPLetters(26), No. 5, May 2019, pp. 710-714.
IEEE DOI 1905
brain, convolutional neural nets, electroencephalography, learning (artificial intelligence), medical signal processing, convolutional networks BibRef

Gui, Q.[Qiong], Ruiz-Blondet, M.V.[Maria V.], Laszlo, S.[Sarah], Jin, Z.P.[Zhan-Peng],
A Survey on Brain Biometrics,
Surveys(51), No. 6, February 2019, pp. Article No 112.
DOI Link 1906
Research has show promise, but not compelte yet. BibRef

Alyasseri, Z.A.A.[Zaid Abdi Alkareem], Khader, A.T.[Ahamad Tajudin], Al-Betar, M.A.[Mohammed Azmi], Alomari, O.A.[Osama Ahmad],
Person identification using EEG channel selection with hybrid flower pollination algorithm,
PR(105), 2020, pp. 107393.
Elsevier DOI 2006
EEG, Biometric, Channel selection, Flower pollination algorithm, -hill climbing BibRef

Wang, M.[Min], Hu, J.K.[Jian-Kun], Abbass, H.A.[Hussein A.],
BrainPrint: EEG biometric identification based on analyzing brain connectivity graphs,
PR(105), 2020, pp. 107381.
Elsevier DOI 2006
EEG biometrics, Brain functional connectivity, Person identification BibRef

Monsy, J.C.[Jijomon Chettuthara], Vinod, A.P.[Achutavarrier Prasad],
EEG-based biometric identification using frequency-weighted power feature,
IET-Bio(9), No. 6, November 2020, pp. 251-258.
DOI Link 2010
BibRef

Maiorana, E.[Emanuele],
Learning deep features for task-independent EEG-based biometric verification,
PRL(143), 2021, pp. 122-129.
Elsevier DOI 2102
Biometrics, Electroencephalography, Deep Learning BibRef

Angeline, M., Priyadharsini, S.S.[S. Suja],
Hybrid compression of biomedical ECG and EEG signals based on differential clustering and encoding techniques,
IJIST(31), No. 2, 2021, pp. 708-717.
DOI Link 2105
arithmetic encoding (AE), DPCM, ECG (electro cardiogram), EEG (electroencephalogram), Huffman encoding (HE), K-means clustering BibRef

Arnau-González, P.[Pablo], Arevalillo-Herráez, M.[Miguel], Katsigiannis, S.[Stamos], Ramzan, N.[Naeem],
On the Influence of Affect in EEG-Based Subject Identification,
AffCom(12), No. 2, April 2021, pp. 391-401.
IEEE DOI 2106
Electroencephalography, Task analysis, Authentication, Emotion recognition, Electrodes, Feature extraction, Sensors, EEG, user authentication BibRef

Wang, M.[Min], Kasmarik, K.[Kathryn], Bezerianos, A.[Anastasios], Tan, K.C.[Kay Chen], Abbass, H.[Hussein],
On the channel density of EEG signals for reliable biometric recognition,
PRL(147), 2021, pp. 134-141.
Elsevier DOI 2106
EEG biometrics, Data augmentation, Deep learning, Current source density BibRef

Panzino, A.[Andrea], Orrů, G.[Giulia], Marcialis, G.L.[Gian Luca], Roli, F.[Fabio],
EEG personal recognition based on 'qualified majority' over signal patches,
IET-Bio(11), No. 1, 2022, pp. 63-78.
DOI Link 2112
BibRef

Mirjalili, M.[Mina], Zomorrodi, R.[Reza], Daskalakis, Z.J.[Zafiris J.], Hill, S.[Sean], Rajji, T.K.[Tarek K.],
Individualized real-time prediction of working memory performance by classifying electroencephalography signals,
IJIST(32), No. 2, 2022, pp. 575-589.
DOI Link 2203
EEG, event-related (de-)synchronization, N-back, single-trial classification, working memory BibRef

Yavich, N., Koshev, N., Malovichko, M., Razorenova, A., Fedorov, M.,
Conservative Finite Element Modeling of EEG and MEG on Unstructured Grids,
MedImg(41), No. 3, March 2022, pp. 647-656.
IEEE DOI 2203
Brain modeling, Mathematical models, Finite element analysis, Electroencephalography, Magnetic heads, Faces, Conductivity, EEG, MEG, subtraction approach BibRef

Llorente-Vidrio, D., Ballesteros, M., Salgado, I., Chairez, I.,
Deep Learning Adapted to Differential Neural Networks Used as Pattern Classification of Electrophysiological Signals,
PAMI(44), No. 9, September 2022, pp. 4807-4818.
IEEE DOI 2208
Electroencephalography, Biological neural networks, Heuristic algorithms, Complexity theory, Topology, Task analysis, EEG classification BibRef


Maiorana, E.[Emanuele],
EEG-Based Biometric Verification Using Siamese CNNs,
NTIAP19(3-11).
Springer DOI 1909
BibRef

Schons, T.[Thiago], Moreira, G.J.P.[Gladston J. P.], Silva, P.H.L.[Pedro H. L.], Coelho, V.N.[Vitor N.], Luz, E.J.S.[Eduardo J. S.],
Convolutional Network for EEG-Based Biometric,
CIARP17(601-608).
Springer DOI 1802
BibRef

Barra, S.[Silvio], Casanova, A.[Andrea], Fraschini, M.[Matteo], Nappi, M.[Michele],
EEG/ECG Signal Fusion Aimed at Biometric Recognition,
BioFor15(35-42).
Springer DOI 1511
BibRef

Ferreira, A.[António], Almeida, C.[Carlos], Georgieva, P.[Pétia], Tomé, A.[Ana], Silva, F.[Filipe],
Advances in EEG-Based Biometry,
ICIAR10(II: 287-295).
Springer DOI 1006
BibRef

Sun, S.L.[Shi-Liang],
Multitask learning for EEG-based biometrics,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Brain-Computer Interface, Brain-Machine Interface .


Last update:Aug 14, 2022 at 21:20:19