Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Eman A. Abdel-Ghaffar"'
Autor:
Eman A. Abdel-Ghaffar, May Salama
Publikováno v:
Sensors, Vol 24, Iss 13, p 4167 (2024)
Personal identification systems based on electroencephalographic (EEG) signals have their own strengths and limitations. The stability of EEG signals strongly affects such systems. The human emotional state is one of the important factors that affect
Externí odkaz:
https://doaj.org/article/50fda720859746a690906e97c3c2355f
Autor:
Eman A. Abdel-Ghaffar, Mohamed Daoudi
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 5, Pp 101541- (2023)
Brain signals have recently been proposed as a strong biometric due to their characteristics such as, uniqueness, permanence, universality, and confidentiality. There are many factors that affect the stability of EEG signals as a biometric for exampl
Externí odkaz:
https://doaj.org/article/74b3a98dcd2e443ebe9e8bfdd8e89266
Publikováno v:
IEEE Access, Vol 10, Pp 14993-15006 (2022)
Emotion recognition plays an important role in human computer interaction systems as it helps the computer in understanding human behavior and their decision making process. Using Electroencephalographic (EEG) signals in emotion recognition offers a
Externí odkaz:
https://doaj.org/article/ed01e9a4070e4fa6b7b036c27f8b797f
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 24, Iss 1, Pp 41-45 (2021)
Prony method is applied to classify both the remote sensing and the biomedical signals. The first example presented from remote sensing is the sea wave classification while the second example depicted from biomedical engineering field is the Epilepsy
Externí odkaz:
https://doaj.org/article/5a986c335ddc4ea68e74bffc619f3d45
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 24, Iss 1, Pp 55-58 (2021)
Pade method is used in the spectral domain estimation to classify both the remote sensing and the biomedical signals. The first example presented from remote sensing is the sea wave classification while the second example depicted from biomedical eng
Externí odkaz:
https://doaj.org/article/db831c374ac74104b2174044713c7dcf
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 24, Iss 1, Pp 55-58 (2021)
Pade method is used in the spectral domain estimation to classify both the remote sensing and the biomedical signals. The first example presented from remote sensing is the sea wave classification while the second example depicted from biomedical eng
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 24, Iss 1, Pp 41-45 (2021)
Prony method is applied to classify both the remote sensing and the biomedical signals. The first example presented from remote sensing is the sea wave classification while the second example depicted from biomedical engineering field is the Epilepsy
Autor:
Eman A. Abdel-Ghaffar, Mohamed Daoudi
Publikováno v:
MIPR
The aim of this study is to classify human emotions using Electroencephalographic (EEG) signals. The main contribution of our approach is classifying four classes of emotions using a simple distance metric Log-Euclidean Riemannian Metric (LERM) on a
Autor:
Eman A. Abdel-Ghaffar
Publikováno v:
2017 12th International Conference on Computer Engineering and Systems (ICCES).
In this paper, we study the effect of tuning the tunable-Q wavelet transform (TQWT) parameters on analyzing the Electroencephalogram (EEG) signals used for detecting epileptic seizure. Publicly available Bonn University database is used in this study
Publikováno v:
2009 International Conference on Computer Engineering & Systems.
Face verification has been widely studied during the past two decades. One of the challenges is the rising concern about the security and privacy of the template database. In this paper, we propose a secure face verification system which employs a us