Biosignal classification for human identification based on convolutional neural networks-Reference-Cited by-同舟云学术

Biosignal classification for human identification based on convolutional neural networks

Published:2021-02-23 Issue:7 Volume:34 Page:
ISSN:1074-5351
Container-title:International Journal of Communication Systems
language:en
Short-container-title:Int J Commun Syst

Author:

Siam Ali I.¹^ORCID,Sedik Ahmed²^ORCID,El‐Shafai Walid³^ORCID,Elazm Atef Abou³^ORCID,El‐Bahnasawy Nirmeen A.⁴^ORCID,El Banby Ghada M.⁵^ORCID,Khalaf Ashraf A.M.⁶^ORCID,Abd El‐Samie Fathi E.³^ORCID

Affiliation:

1. Department of Embedded Network Systems Technology, Faculty of Artificial Intelligence Kafrelsheikh University Kafr el‐Sheikh Egypt

2. Department of Robotics and Intelligent Machines, Faculty of Artificial Intelligence Kafrelsheikh University Kafr el‐Sheikh Egypt

3. Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering Menoufia University Menouf Egypt

4. Department of Computer Science and Engineering, Faculty of Electronic Engineering Menoufia University Menouf Egypt

5. Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering Menoufia University Menouf Egypt

6. Department of Electronics and Electrical Communications, Faculty of Engineering Minia University Minia Egypt

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/dac.4685

Reference56 articles.

1. Comparing passwords, tokens, and biometrics for user authentication

2. Evaluation of PPG Biometrics for Authentication in Different States

3. Biometric template extraction from a heartbeat signal captured from fingers

4. An overview of fingerprint verification technologies

5. Biometric personal identification based on iris patterns

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