Eyes Status Detector Based on Light-weight Convolutional Neural Networks supporting for Drowsiness Detection System

Author:

Nguyen Duy-Linh,Putro Muhamad Dwisnanto,Jo Kang-Hyun

Funder

National Research Foundation

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Drivers Real time Drowsiness, Attention Detection and Alarm System using Eye Aspect Ratio(EAR) Analysis;2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE);2024-04-25

2. Time-Frame-Based Drowsiness Detection System Using CNN;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15

3. Adaptive Eye Aspect Ratio Technique for Drowsiness Detection System;2023 1st International Conference on Advanced Engineering and Technologies (ICONNIC);2023-10-14

4. Detecting Drivers' Drowsiness using Haar Cascade Classifier;2022 9th International Conference on Computing for Sustainable Global Development (INDIACom);2022-03-23

5. Eye State Recognizer Using Light-Weight Architecture for Drowsiness Warning;Intelligent Information and Database Systems;2021

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