Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Lotfi Mostefai"'
Autor:
Nasri Boualem, Abderrezak, Guessoum, Lotfi, Mostefai, Bensikaddour El habib, Nabil, Hamdadou, Abdelhamid, Ghoul, Akram, Adnane
Publikováno v:
Automatic Control & Computer Sciences; Dec2023, Vol. 57 Issue 6, p563-576, 14p
Publikováno v:
ICCEIS 2021.
Electrocardiogram (ECG) signals have distinct features of the electrical activity of the heart which are unique among individuals and have recently emerged as a potential biometric tool for human identification. The paper attempts to address the prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa65c2d1b9589ad801f0a20583651cf5
https://doi.org/10.21203/rs.3.rs-1087158/v1
https://doi.org/10.21203/rs.3.rs-1087158/v1
Autor:
Boualem, Nasri, Lotfi, Mostefai, Abderrezak, Guessoum, Abdelhak, Benikhlef, Kadda, Zemalache Meguenni, Mohammed, Tahar
Publikováno v:
AIP Conference Proceedings Online; May 2023, Vol. 2536 Issue: 1 p030009-30018, 10p
Publikováno v:
MetroInd4.0&IoT
The handcrafted features extraction methods have achieved remarkable results in ECG based biometric identification. However, they are sensitive to many factors: (1) intra and inter-individual variability, (2) heart rate variability, (3) powerline int
Publikováno v:
Przegląd Elektrotechniczny; 2021, Vol. 97 Issue 11, p97-101, 5p
Publikováno v:
Biomedical Signal Processing and Control. 64:102226
In this work, an enhanced version of 1D local binary pattern is proposed, for the derivation of the most relevant features for ECG-based human recognition. Generally, ECG signal characteristics by nature impose some notable challenges, mostly related
Publikováno v:
Journal of Electrical Engineering. 64:50-54
This paper presents a novel method for motion control applied to driver stability system of an electric vehicle with independently driven wheels. By formulating the vehicle dynamics using an approximating the tire-force characteristics into piecewise
Publikováno v:
International Journal of Biometrics. 8:237
The sensitivity to illumination variations, pose, gender, age, clothing and any another source of changes, can be one of the most important challenges, in gait recognition system. In this paper, we adopt many approaches to extract signatures of human