Detection of driver vigilance level using EEG signals and driving contexts Z Guo, Y Pan, G Zhao, S Cao, J Zhang IEEE Transactions on Reliability 67 (1), 370-380, 2017 | 81 | 2017 |
Recognizing hazard perception in a visual blind area based on EEG features Z Guo, Y Pan, G Zhao, J Zhang, N Dong IEEE access 8, 48917-48928, 2020 | 16 | 2020 |
Estimating the vigilance of high-speed rail drivers using a stacking ensemble learning method D Zhai, Y Pan, P Li, G Li IEEE Sensors Journal 21 (15), 16826-16838, 2021 | 8 | 2021 |
A vigilance estimation method for high-speed rail drivers using physiological signals with a two-level fusion framework Y Pan, ZS Li, E Zhang, Z Guo Biomedical Signal Processing and Control 84, 104831, 2023 | 6 | 2023 |
Contingent negative variation during a modified cueing task in simulated driving Z Guo, X Tan, Y Pan, X Liu, G Zhao, L Wang, Z Peng PLoS one 14 (11), e0224966, 2019 | 5 | 2019 |
Emotion Recognition Based on Selected EEG Signals by Common Spatial Pattern G Li, B Yuan, D Ouyang, W Li, Y Pan, Z Guo, G Guo IEEE Sensors Journal, 2024 | 2 | 2024 |
A Two-dimensional Vigilance Estimation Method for High-Speed Rail Drivers with Multi-modal Sensors Y Pan, Z Guo, Y Zhao, M Zhou, L Yang, J Zhang, G Li IEEE Sensors Journal, 2024 | | 2024 |