127 related articles for article (PubMed ID: 38010936)
1. A Connectivity-Aware Graph Neural Network for Real-Time Drowsiness Classification.
Zhuang Z; Wang YK; Chang YC; Liu J; Lin CT
IEEE Trans Neural Syst Rehabil Eng; 2024; 32():83-93. PubMed ID: 38010936
[TBL] [Abstract][Full Text] [Related]
2. A novel convolutional neural network method for subject-independent driver drowsiness detection based on single-channel data and EEG alpha spindles.
Houshmand S; Kazemi R; Salmanzadeh H
Proc Inst Mech Eng H; 2021 Sep; 235(9):1069-1078. PubMed ID: 34028321
[TBL] [Abstract][Full Text] [Related]
3. A compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel EEG.
Cui J; Lan Z; Liu Y; Li R; Li F; Sourina O; Müller-Wittig W
Methods; 2022 Jun; 202():173-184. PubMed ID: 33901644
[TBL] [Abstract][Full Text] [Related]
4. Graph analysis of functional brain network topology using minimum spanning tree in driver drowsiness.
Chen J; Wang H; Hua C; Wang Q; Liu C
Cogn Neurodyn; 2018 Dec; 12(6):569-581. PubMed ID: 30483365
[TBL] [Abstract][Full Text] [Related]
5. Phase lag index-based graph attention networks for detecting driving fatigue.
Wang Z; Zhao Y; He Y; Zhang J
Rev Sci Instrum; 2021 Sep; 92(9):094105. PubMed ID: 34598529
[TBL] [Abstract][Full Text] [Related]
6. An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance.
Zhou X; Lin D; Jia Z; Xiao J; Liu C; Zhai L; Liu Y
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-5. PubMed ID: 38083658
[TBL] [Abstract][Full Text] [Related]
7. Assessment of driver drowsiness using electroencephalogram signals based on multiple functional brain networks.
Chen J; Wang H; Hua C
Int J Psychophysiol; 2018 Nov; 133():120-130. PubMed ID: 30081067
[TBL] [Abstract][Full Text] [Related]
8. A portable device for real time drowsiness detection using novel active dry electrode system.
Tsai PY; Hu W; Kuo TB; Shyu LY
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():3775-8. PubMed ID: 19964814
[TBL] [Abstract][Full Text] [Related]
9. Tensor-Based EEG Network Formation and Feature Extraction for Cross-Session Driving Drowsiness Detection.
Shen M; Zou B; Li X; Zheng Y; Zhang L
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():252-255. PubMed ID: 33017976
[TBL] [Abstract][Full Text] [Related]
10. Two-Stream Spatial-Temporal Graph Convolutional Networks for Driver Drowsiness Detection.
Bai J; Yu W; Xiao Z; Havyarimana V; Regan AC; Jiang H; Jiao L
IEEE Trans Cybern; 2022 Dec; 52(12):13821-13833. PubMed ID: 34606468
[TBL] [Abstract][Full Text] [Related]
11. Development of single-channel electroencephalography signal analysis model for real-time drowsiness detection : SEEGDD.
Balam VP; Chinara S
Phys Eng Sci Med; 2021 Sep; 44(3):713-726. PubMed ID: 34057671
[TBL] [Abstract][Full Text] [Related]
12. Detection of Drowsiness among Drivers Using Novel Deep Convolutional Neural Network Model.
Majeed F; Shafique U; Safran M; Alfarhood S; Ashraf I
Sensors (Basel); 2023 Oct; 23(21):. PubMed ID: 37960441
[TBL] [Abstract][Full Text] [Related]
13. Cross-Subject Zero Calibration Driver's Drowsiness Detection: Exploring Spatiotemporal Image Encoding of EEG Signals for Convolutional Neural Network Classification.
Paulo JR; Pires G; Nunes UJ
IEEE Trans Neural Syst Rehabil Eng; 2021; 29():905-915. PubMed ID: 33979288
[TBL] [Abstract][Full Text] [Related]
14. Monitoring alert and drowsy states by modeling EEG source nonstationarity.
Hsu SH; Jung TP
J Neural Eng; 2017 Oct; 14(5):056012. PubMed ID: 28627505
[TBL] [Abstract][Full Text] [Related]
15. Driving drowsiness detection using spectral signatures of EEG-based neurophysiology.
Arif S; Munawar S; Ali H
Front Physiol; 2023; 14():1153268. PubMed ID: 37064914
[No Abstract] [Full Text] [Related]
16. Drowsiness detection using portable wireless EEG.
Gangadharan K S; Vinod AP
Comput Methods Programs Biomed; 2022 Feb; 214():106535. PubMed ID: 34861615
[TBL] [Abstract][Full Text] [Related]
17. Using long short term memory and convolutional neural networks for driver drowsiness detection.
Quddus A; Shahidi Zandi A; Prest L; Comeau FJE
Accid Anal Prev; 2021 Jun; 156():106107. PubMed ID: 33848710
[TBL] [Abstract][Full Text] [Related]
18. A Context-Aware EEG Headset System for Early Detection of Driver Drowsiness.
Li G; Chung WY
Sensors (Basel); 2015 Aug; 15(8):20873-93. PubMed ID: 26308002
[TBL] [Abstract][Full Text] [Related]
19. A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability.
Awais M; Badruddin N; Drieberg M
Sensors (Basel); 2017 Aug; 17(9):. PubMed ID: 28858220
[TBL] [Abstract][Full Text] [Related]
20. Exploring the fatigue affecting electroencephalography based functional brain networks during real driving in young males.
Chen J; Wang H; Wang Q; Hua C
Neuropsychologia; 2019 Jun; 129():200-211. PubMed ID: 30995455
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
