Adaptive Thresholds of EEG Brain Signals for IoT Devices Authentication

Adaptive Thresholds of EEG Brain Signals for IoT Devices Authentication

In this paper, a new authentication method has been proposed for the Internet of Things (IoT) devices. This method is based on electroencephalography EEG signals, and hand gestures. The proposed EEG signals authentication method used a low price NeuroSky MindWave headset. This was based on choosing...

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Bibliographic Details
Main Authors: Abdelghafar R. Elshenaway, Shawkat K. Guirguis
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Electroencephalography
brain computer interface (BCI)
convolutional neural networks (CNN)
NeuroSky
human computer interaction (HCI)
hand gestures recognition
Online Access:https://ieeexplore.ieee.org/document/9467310/

Internet

https://ieeexplore.ieee.org/document/9467310/

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