Drivers Drowsiness Detection using Image Processing and I-Ear Techniques-Reference-Cited by-同舟云学术

Drivers Drowsiness Detection using Image Processing and I-Ear Techniques

Published:2023-05-17 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS)
language:
Short-container-title:

Author:

Ananthi S.¹,Sathya R.²,Vaidehi K.³,Vijaya G.⁴

Affiliation:

1. Sri Eshwar College of Engineering,Department of CSE,Coimbatore,Tamil Nadu,India

2. KongunaduCollege of Engineering and Technology,Department of IT,Trichy,Tamil Nadu,India

3. Stanley College of Engineering and Technology for Women,Department of Artificial Intelligence and Data Science,Hyderabad,Telangana,India

4. Sri Krishna College of Engineering & Technology,Dept of CSE,Coimbatore,Tamil Nadu,India

Publisher

IEEE

Link

Reference19 articles.

2. Analysis of Artificial Intelligence in Future Industrial Applications;anandakumar;Journal of Advanced Research in Dynamical and Control Systems,2019

Cited by 7 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

2. Fatigue Driving Behavior Detection Based on PiPnet Improvement;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

3. Safeguarding Journeys: Raspberry pi’s Intelligent Driver Monitoring;2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2024-05-03

4. Real Time Implementation of Driver Drowsiness Detection for an Intelligent Transportation System;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04