Exploring EEG Frequency Bands as a Feature for Machine Learning in Drowsiness Detection-Reference-Cited by-同舟云学术

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Exploring EEG Frequency Bands as a Feature for Machine Learning in Drowsiness Detection

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)
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Author:

Darojatun Aulia¹,Hidayatulloh Papat¹,Rahmawati Annida¹,Simbolon Artha Ivonita¹,Sanjaya Kadek Heri¹,Nadiya Ulfah¹

Affiliation:

1. Research Center for Smart Mechatronics National Research and Innovation Agency,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10366459/10366464/10366672.pdf?arnumber=10366672

Reference19 articles.

1. Automatic Detection of Drowsiness in EEG Records Based on Machine Learning Approaches

2. The Neurology of Sleep: 2012

3. On-board Drowsiness Detection using EEG: Current Status and Future Prospects

4. Electroencephalographic based hearing identification using back-propagation algorithm

5. Awareness and the EEG power spectrum: analysis of frequencies

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