A Machine Learning Based Approach to Driver Drowsiness Detection-Reference-Cited by-同舟云学术

A Machine Learning Based Approach to Driver Drowsiness Detection

Published:2019 Issue: Volume: Page:150-159
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Misal Swapnil^ORCID,Nair Binoy B.^ORCID

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-5992-7_13

Reference17 articles.

1. National Crime Records Bureau (NCRB), Traffic Accidents in India (2014). http://ncrb.nic.in/StatPublications/ADSI/ADSI2014/chapter-1A%20traffic%20accidents.pdf

2. National Highway Traffic Safety Administration (NHTSA), Drowsy Driving. https://www.nhtsa.gov/risky-driving/drowsy-driving

3. Leng, L.B., Giin, L.B., Chung, W.-Y.: Wearable driver drowsiness detection system based on biomedical and motion sensors. In: IEEE SENSORS, pp. 1–4. IEEE (2015)

4. Drutarovský, T: Driver’s Microsleep Detection. Bachelor thesis, Faculty of Informatics and Information Technologies, Slovak University of Technology, Bratislava (2014)

5. Ramesh, M.V., Nair, A.K., Kunnathu, A.T.: Real-time automated multiplexed sensor system for driver drowsiness detection. In: 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), pp. 1–4. IEEE, September 2011

Cited by 3 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. Distance Estimation & Driver alert system using ZED Stereo Camera and Raspberry Pi using Socket Communication;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14

2. Driver Drowsiness Detection and Warning using Facial Features and Hand Gestures;2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN);2023-05-05

3. A Data-Driven Test Scenario Generation Framework for AD/ADAS-Enabled Vehicles;Intelligent Control, Robotics, and Industrial Automation;2023