Benchmarking EEG-based Cross-dataset Driver Drowsiness Recognition with Deep Transfer Learning

• Published in: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Vol. 2023; pp. 1 - 6
• Main Authors: Cui, Jian, Yuan, Liqiang, Li, Ruilin, Wang, Zhaoxiang, Yang, Dongping, Jiang, Tianzi
• Format: Conference Proceeding Journal Article
• Language: English
• Published: United States IEEE 01.01.2023
• Subjects: Adaptation models; Benchmark testing; Benchmarking; Biological system modeling; Brain modeling; Buildings; CNN; cross-dataset; Deep transfer learning; driver drowsiness recognition; EEG; Electroencephalography; Electroencephalography - methods; Humans; Learning; Machine Learning; Recognition, Psychology; Transfer learning
• ISSN: 2694-0604
• DOI: 10.1109/EMBC40787.2023.10340982

It usually takes a long time to collect data for calibration when using electroencephalography (EEG) for driver drowsiness monitoring. Cross-dataset recognition is desirable since it can significantly save the calibration time when an existing dataset is used. However, the recognition accuracy is af...