Driver drowsiness estimation using iot and image processing-Reference-Cited by-同舟云学术

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Driver drowsiness estimation using iot and image processing

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:LOW RADIOACTIVITY TECHNIQUES 2022 (LRT 2022): Proceedings of the 8th International Workshop on Low Radioactivity Techniques
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Author:

Karanam Madhavi,Donti Reddy Sai Rakesh Reddy,Devarapalli Yaswanth Reddy,Billakanti Nikhil,Milind K.

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0169527

Reference23 articles.

1. Sensor Applications and Physiological Features in Drivers’ Drowsiness Detection: A Review

2. Efficient driver drowsiness detection at moderate levels of drowsiness

3. Rohit, Fnu, et al, IET Intelligent Transport Systems 11.5 (2017), pp. 255–263.

4. Garg, Hitendra, "Drowsiness Detection of a Driver using Conventional Computer Vision Application," 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC, IEEE, 2020).

5. Uma S, and R. Eswari, Journal of Reliable Intelligent Environments (2021), pp.1–25.

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