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Keywords = local neighbor descriptive pattern (LNDP)

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23 pages, 7238 KiB  
Article
Cryptographic Algorithm Designed by Extracting Brainwave Patterns
by Marius-Alin Dragu, Irina-Emilia Nicolae and Mădălin-Corneliu Frunzete
Mathematics 2024, 12(13), 1971; https://doi.org/10.3390/math12131971 - 25 Jun 2024
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Abstract
A new authentication method based on EEG signal is proposed here. Biometric features such as fingerprint scanning, facial recognition, iris scanning, voice recognition, and even brainwave patterns can be used for authentication methods. Brainwave patterns, also known as brain biometrics, can be captured [...] Read more.
A new authentication method based on EEG signal is proposed here. Biometric features such as fingerprint scanning, facial recognition, iris scanning, voice recognition, and even brainwave patterns can be used for authentication methods. Brainwave patterns, also known as brain biometrics, can be captured using technologies like electroencephalography (EEG) to authenticate a user based on their unique brain activity. This method is still in the research phase and is not yet commonly used for authentication purposes. Extracting EEG features for authentication typically involves signal processing techniques to analyze the brainwave patterns. Here, a method based on statistics for extracting EEG features is designed to extract meaningful information and patterns from the brainwave data for various applications, including authentication, brain–computer interface systems, and neurofeedback training. Full article
(This article belongs to the Section E: Applied Mathematics)
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