DrivEmo: A Novel Approach for EEG-Based Emotion Classification for Drivers
Author:
Affiliation:
1. General Sir John Kotelawala Defence University,Department of Computer Science,Sri Lanka
2. General Sir John Kotelawala Defence University,Department of Computational Mathematics,Sri Lanka
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10214973/10214983/10215028.pdf?arnumber=10215028
Reference48 articles.
1. DETECTING STRESS USING EYE BLINKS AND BRAIN ACTIVITY FROM EEG SIGNALS;haak,2009
2. ReliefF-Based EEG Sensor Selection Methods for Emotion Recognition
3. Driver Emotion Recognition for Safe Driving: A Comprehensive Survey;gamage;13th International Research Conference General Sir John Kotelawala Defence University,2022
4. Feature selection of EEG signals in neuromarketing
5. SEED Dataset,2022
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1. A Survey of EEG-Based Driver State and Behavior Detection for Intelligent Vehicles;IEEE Transactions on Biometrics, Behavior, and Identity Science;2024-07
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