RealTime Drowsiness Detection System using Facial Landmarks and Eye Blink Analysis-Reference-Cited by-同舟云学术

RealTime Drowsiness Detection System using Facial Landmarks and Eye Blink Analysis

Published:2023-11-23 Issue: Volume:12 Page:1-9
ISSN:
Container-title:Proceedings of the 5th International Conference on Information Management & Machine Intelligence
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Author:

Manhas Vishal Singh¹^ORCID,Sahani Prince²^ORCID,Upase Shankar Venkatrao³^ORCID,Ashtagi Rashmi²^ORCID

Affiliation:

1. Computer engineering, Vishwakarma Institute of technology pune, India

2. Computer Engineering, Vishwakarma Institute Of Technology, India

3. Computer science, Vishwakarma institute of technology, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3647444.3647915

Reference17 articles.

1. JunliXu. Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application.

2. Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques Published (2018) in The 9th International Conference on Ambient Systems, Networks, and Technologies. The authors of the paper are RatebJabbar, Khalifa Al-Khalifa, Mohamed Kharbeche, WaelAlhajyaseen, Mohsen Jafari, and Shan Jiang.

3. Driver drowsiness detection using Behavioural measures and machine learning techniques: A review of state-of-art techniques Published in 2017 Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA-RobMech). Authors of the research paper are MkhuseliNgxande Jules-Raymond Tapamo and Michael Burke.

4. Real-Time Driver Drowsiness Detection System Using Eye Aspect Ratio and Eye Closure Ratio Published in Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur – India, February 26-28, 2019. Authors Sukrit Mehta, Sharad Dadhich, SahilGumber, and ArpitaJadhav Bhatt.

5. A Brief Review on Different Driver's Drowsiness Detection TechniquesAuthorAnis-Ul-Islam Rafid Amit RahaNiloy Atiqul Islam Chowdhury and NusratSharmin.