150 related articles for article (PubMed ID: 37838152)
21. EEG and ECG-Based Multi-Sensor Fusion Computing for Real-Time Fatigue Driving Recognition Based on Feedback Mechanism.
Wang L; Song F; Zhou TH; Hao J; Ryu KH
Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896480
[TBL] [Abstract][Full Text] [Related]
22. Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach.
Peivandi M; Ardabili SZ; Sheykhivand S; Danishvar S
Sensors (Basel); 2023 Sep; 23(19):. PubMed ID: 37837001
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. 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]
25. A cross-scenario and cross-subject domain adaptation method for driving fatigue detection.
Luo Y; Liu W; Li H; Lu Y; Lu BL
J Neural Eng; 2024 Jul; 21(4):. PubMed ID: 38838664
[No Abstract] [Full Text] [Related]
26. Research on driving fatigue detection based on basic scale entropy and MVAR-PSI.
Wang F; Kang X; Fu R; Lu B
Biomed Phys Eng Express; 2022 Jul; 8(5):. PubMed ID: 35788110
[TBL] [Abstract][Full Text] [Related]
27. Drivers' Comprehensive Emotion Recognition Based on HAM.
Zhou D; Cheng Y; Wen L; Luo H; Liu Y
Sensors (Basel); 2023 Oct; 23(19):. PubMed ID: 37837124
[TBL] [Abstract][Full Text] [Related]
28. Deep Learning with LPC and Wavelet Algorithms for Driving Fault Diagnosis.
Gong CA; Su CS; Liu YE; Guu DY; Chen YH
Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146421
[TBL] [Abstract][Full Text] [Related]
29. Fatigue at the wheel: A non-visual approach to truck driver fatigue detection by multi-feature fusion.
He C; Xu P; Pei X; Wang Q; Yue Y; Han C
Accid Anal Prev; 2024 May; 199():107511. PubMed ID: 38387154
[TBL] [Abstract][Full Text] [Related]
30. Driving Fatigue Detection from EEG Using a Modified PCANet Method.
Ma Y; Chen B; Li R; Wang C; Wang J; She Q; Luo Z; Zhang Y
Comput Intell Neurosci; 2019; 2019():4721863. PubMed ID: 31396270
[TBL] [Abstract][Full Text] [Related]
31. CSF-GTNet: A Novel Multi-Dimensional Feature Fusion Network Based on Convnext-GeLU- BiLSTM for EEG-Signals-Enabled Fatigue Driving Detection.
Gao D; Li P; Wang M; Liang Y; Liu S; Zhou J; Wang L; Zhang Y
IEEE J Biomed Health Inform; 2024 May; 28(5):2558-2568. PubMed ID: 37022236
[TBL] [Abstract][Full Text] [Related]
32. Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks.
Doniec R; Konior J; Sieciński S; Piet A; Irshad MT; Piaseczna N; Hasan MA; Li F; Nisar MA; Grzegorzek M
Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420718
[TBL] [Abstract][Full Text] [Related]
33. An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition.
Reddy YRM; Muralidhar P; Srinivas M
Brain Topogr; 2024 Jan; 37(1):1-18. PubMed ID: 37995000
[TBL] [Abstract][Full Text] [Related]
34. Development of an algorithm for an EEG-based driver fatigue countermeasure.
Lal SK; Craig A; Boord P; Kirkup L; Nguyen H
J Safety Res; 2003; 34(3):321-8. PubMed ID: 12963079
[TBL] [Abstract][Full Text] [Related]
35. Critical safety management driver identification based upon temporal variation characteristics of driving behavior.
Zhang R; Wen X; Cao H; Cui P; Chai H; Hu R; Yu R
Accid Anal Prev; 2023 Dec; 193():107307. PubMed ID: 37783160
[TBL] [Abstract][Full Text] [Related]
36. Feature extraction of EEG signals based on functional data analysis and its application to recognition of driver fatigue state.
Shangguan P; Qiu T; Liu T; Zou S; Liu Z; Zhang S
Physiol Meas; 2021 Jan; 41(12):125004. PubMed ID: 33126235
[TBL] [Abstract][Full Text] [Related]
37. Attention-Based DSC-ConvLSTM for Multiclass Motor Imagery Classification.
Li L; Sun N
Comput Intell Neurosci; 2022; 2022():8187009. PubMed ID: 35571721
[TBL] [Abstract][Full Text] [Related]
38. Driver Behavior Profiling and Recognition Using Deep-Learning Methods: In Accordance with Traffic Regulations and Experts Guidelines.
Al-Hussein WA; Por LY; Kiah MLM; Zaidan BB
Int J Environ Res Public Health; 2022 Jan; 19(3):. PubMed ID: 35162493
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. A Product Fuzzy Convolutional Network for Detecting Driving Fatigue.
Du G; Long S; Li C; Wang Z; Liu PX
IEEE Trans Cybern; 2023 Jul; 53(7):4175-4188. PubMed ID: 35171785
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
