# Comparison of Machine Learning Algorithms for Recognizing Drowsiness in Drivers using Electroencephalogram (EEG) Signals

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/comparison-of-machine-learning-algorithms-for-recognizing-drowsiness-in-drivers/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rüya Akıncı,Erhan Akdoğan,Mehmet Emin Aktan |
| Citations | 6 |
| DOI | 10.18201/ijisae.2022.266 |
| Fields | Neuroscience |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://ijisae.org/index.php/IJISAE/article/download/1604/682/5977 |
| OpenAlex ID | https://openalex.org/W4214886358 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Mehmet Emin Aktan](https://scholariq.org/researchers/mehmet-emin-aktan/)

## Paper journal

- [International Journal of Intelligent Systems and Applications in Engineering](https://scholariq.org/journals/international-journal-of-intelligent-systems-and-applications-in-engineering/)

## Paper primary topic

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

## Paper topics

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.