DrowsyDetectNet: Driver Drowsiness Detection Using Lightweight CNN With Limited Training Data
Author:
Affiliation:
1. School of Computer Science and Engineering, VIT-AP University, Amaravati, India
Funder
VIT AP University, Amaravati, Andhra Pradesh
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10630828.pdf?arnumber=10630828
Reference40 articles.
1. Towards Understanding Motivational and Emotional Factors in Driver Behaviour: Comfort Through Satisficing
2. Drowsiness estimation under driving environment by heart rate variability and/or breathing rate variability with logistic regression analysis
3. Distracted and Drowsy Driving Modeling Using Deep Physiological Representations and Multitask Learning
4. A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability
5. A Survey on State-of-the-Art Drowsiness Detection Techniques
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