EEG-based fatigue detection using binary pattern analysis and KNN algorithm
Fatigue is a prevalent issue that disrupts the overall well-being of individuals, leading to impaired cognitive functions such as learning, thinking, reasoning, remembering, and problem-solving. Chronic fatigue significantly increases the risk of accidents due to reduced focus, vigilance, and delaye...
Saved in:
Main Authors: | Abd Rahman, Faridah, Roslizan, Iszan Uwais Amer, Gunawan, Teddy Surya, Fitriawan, Helmy, Kartiwi, Mira, Habaebi, Mohamed Hadi |
---|---|
Format: | Proceeding Paper |
Language: | English English |
Published: |
IEEE
2024
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/115854/7/115854_%20EEG-based%20fatigue%20detection.pdf http://irep.iium.edu.my/115854/8/115854_%20EEG-based%20fatigue%20detection_Scopus.pdf http://irep.iium.edu.my/115854/ https://ieeexplore.ieee.org/document/10675542 https://doi.org/10.1109/ICSIMA62563.2024.10675542 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development of skin cancer detection using deep spiking neural networks
by: Habaebi, Mohamed Hadi, et al.
Published: (2024) -
Herb leaves pattern recognition using digital microscope and deep learning
by: Rahman, Muhammad Ariff Azizul, et al.
Published: (2019) -
Prototype development of graphical pattern security system on Raspberry Pi
by: Gunawan, Teddy Surya, et al.
Published: (2021) -
On the use of edge features and exponential decaying number of nodes in the hidden layers for handwritten signature recognition
by: Gunawan, Teddy Surya, et al.
Published: (2018) -
On the comparison of line spectral frequencies and mel-frequency cepstral coefficients using feedforward neural network for language identification
by: Gunawan, Teddy Surya, et al.
Published: (2018)