Deep Review of Machine Learning Techniques on Detection of Drowsiness Using EEG Signal
Author:
Affiliation:
1. Department of Computer Science and Engineering, National Institute of Technology, Rourkela 769 008, India
2. Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela 769 008, India
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/03772063.2021.1913070
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3. Drowsiness Detection With Electrooculography Signal Using a System Dynamics Approach
4. F. Abtahi, A. Anund, C. Fors, F. Seoane, and K. Lindecrantz. “Association of drivers’ sleepiness with heart rate variability: A pilot study with drivers on real roads,” in EMBEC & NBC 2017. Springer, pp. 149–152, Jun. 2017.
5. A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability
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