# Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-cnn-a-machine-learning-approach-for-driver-drowsiness-detection-based-on/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Venkata Rami Reddy Chirra,U. Srinivasulu Reddy,Venkata Krishna Kishore Kolli |
| Citations | 136 |
| DOI | 10.18280/ria.330609 |
| Fields | Computer Science,Psychology |
| Open Access | true |
| OA Status | bronze |
| OA URL | http://www.iieta.org/download/file/fid/22716 |
| OpenAlex ID | https://openalex.org/W2997052735 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Venkata Rami Reddy Chirra](https://scholariq.org/researchers/venkata-rami-reddy-chirra/)

## Paper primary topic

- [Sleep and Work-Related Fatigue](https://scholariq.org/topics/sleep-and-work-related-fatigue/)

## Paper topics

- [Sleep and Work-Related Fatigue](https://scholariq.org/topics/sleep-and-work-related-fatigue/)
- [Gaze Tracking and Assistive Technology](https://scholariq.org/topics/gaze-tracking-and-assistive-technology/)
- [Human-Automation Interaction and Safety](https://scholariq.org/topics/human-automation-interaction-and-safety/)

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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.