Fatigue and Drowsiness Detection System Using Artificial Intelligence Technique for Car Drivers

Author:

Abu Mohd Azlan,Ishak Izzat Danial,Basarudin Hafiz,Ramli Aizat Faiz,Shapiai Mohd Ibrahim

Publisher

Springer International Publishing

Reference15 articles.

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4. Farley P (2019) “Face detection and attributes concepts—azure cognitive services | microsoft docs,”. https://docs.microsoft.com/en-us/azure/cognitive-services/face/concepts/face-detection#face-landmarks . Accessed 16 Jun 2020

5. Dwivedi D (2018) “Face detection for beginners—towards data science,” https://towardsdatascience.com/face-detection-for-beginners-e58e8f21aad9 . Accessed 15 Jun 2020

Cited by 2 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. Fatigue and Sluggishness Detection Using Machine Learning: A Haar Algorithmic Approach;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

2. EEG-based driver states discrimination by noise fraction analysis and novel clustering algorithm;Biomedical Engineering / Biomedizinische Technik;2023-02-27

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