SPARK: A High-Efficiency Black-Box Domain Adaptation Framework for Source Privacy-Preserving Drowsiness Detection
Author:
Affiliation:
1. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
2. Research Center for Life Sciences Computing, Zhejiang Lab, Hangzhou, China
Funder
STI2030-Major Projects
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6221020/10550931/10472580.pdf?arnumber=10472580
Reference37 articles.
1. Driver sleepiness and risk of serious injury to car occupants: population based case control study
2. EEG-Based Cross-Subject Driver Drowsiness Recognition With an Interpretable Convolutional Neural Network
3. A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition
4. A Review of Domain Adaptation without Target Labels
5. Custom Domain Adaptation: A New Method for Cross-Subject, EEG-Based Cognitive Load Recognition
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