Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sherif Nagib Abbas Seha"'
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. :1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f68364e5dafcfdb96f9896f97ea9c2ae
https://doi.org/10.1109/jstsp.2023.3235302
https://doi.org/10.1109/jstsp.2023.3235302
Publikováno v:
Neurocomputing. 488:194-211
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d073942442088d7212da286532442b7
https://doi.org/10.1016/j.neucom.2022.02.084
https://doi.org/10.1016/j.neucom.2022.02.084
Publikováno v:
2021 29th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cdb581b13753584b653ef5c0826430b
https://doi.org/10.23919/eusipco54536.2021.9616098
https://doi.org/10.23919/eusipco54536.2021.9616098
Publikováno v:
IET Biometrics. 7:242-250
This study presents a new technique for human recognition using transient auditory evoked potentials (AEPs). AEPs are electrical potentials that are triggered by stimulating ears with auditory stimulus reflecting the neural response from the cochlea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28989a7036bb5770e9f444380b3a66c7
https://doi.org/10.1049/iet-bmt.2017.0185
https://doi.org/10.1049/iet-bmt.2017.0185
Publikováno v:
ICB
In this paper, a new approach is followed for the human recognition task using brainwave responses to auditory stimulation. A system based on this class of brainwaves benefits extra features over conventional traits being more secure, harder to spoof
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91a47dfde868e03d8026a83c91d8fd44
https://doi.org/10.1109/icb45273.2019.8987271
https://doi.org/10.1109/icb45273.2019.8987271
Autor:
Dimitrios Hatzinakos, Felix J.E. Comeau, Ali Shahidi Zandi, Georgios Papangelakis, Sherif Nagib Abbas Seha
Publikováno v:
ICASSP
In this paper, the biometric potential of eye movement and eye blinking for human recognition task is investigated. These modalities might be useful for specific biometric applications like driver authentication for law enforcement. For this purpose,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::509b3110b7ee47fbb1ddb56721654c4e
https://doi.org/10.1109/icassp.2019.8683757
https://doi.org/10.1109/icassp.2019.8683757
Publikováno v:
Image and Vision Computing. 108:104124
In this paper, the biometric potential of eye movement patterns extracted from low frame rate eye-tracking devices is evaluated. Also, possible improvement in recognition rates is investigated using other static and dynamic features extracted from th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::755aaca7dff958dd9e4ac00c511336aa
https://doi.org/10.1016/j.imavis.2021.104124
https://doi.org/10.1016/j.imavis.2021.104124
Publikováno v:
IEEE Transactions on Information Forensics and Security. :1-1
In recent years, brainwaves (EEG) have gained increasing attention in the field of biometric authentication because they feature vital advantages being more secure and impossible to replicate. In this paper, a new approach for the EEG-based biometric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5567e56f3b64343d46bc5a6cb72b779a
https://doi.org/10.1109/tifs.2020.3001729
https://doi.org/10.1109/tifs.2020.3001729