BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 38917929)

  • 1. Driver drowsiness is associated with altered facial thermal patterns: Machine learning insights from a thermal imaging approach.
    Aghamalizadeh A; Mazloumi A; Nikabadi A; Nahvi A; Khanehshenas F; Ebrahimian S
    Physiol Behav; 2024 Jun; 283():114619. PubMed ID: 38917929
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Driver drowsiness detection using facial thermal imaging in a driving simulator.
    Tashakori M; Nahvi A; Ebrahimian Hadi Kiashari S
    Proc Inst Mech Eng H; 2022 Jan; 236(1):43-55. PubMed ID: 34477030
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Steering in a random forest: ensemble learning for detecting drowsiness-related lane departures.
    McDonald AD; Lee JD; Schwarz C; Brown TL
    Hum Factors; 2014 Aug; 56(5):986-98. PubMed ID: 25141601
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Using Image Processing in the Proposed Drowsiness Detection System Design.
    Poursadeghiyan M; Mazloumi A; Nasl Saraji G; Baneshi MM; Khammar A; Ebrahimi MH
    Iran J Public Health; 2018 Sep; 47(9):1371-1378. PubMed ID: 30320012
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Real-Time Machine Learning-Based Driver Drowsiness Detection Using Visual Features.
    Albadawi Y; AlRedhaei A; Takruri M
    J Imaging; 2023 Apr; 9(5):. PubMed ID: 37233309
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Determination the Levels of Subjective and Observer Rating of Drowsiness and Their Associations with Facial Dynamic Changes.
    Poursadeghiyan M; Mazloumi A; Saraji GN; Niknezhad A; Akbarzadeh A; Ebrahimi MH
    Iran J Public Health; 2017 Jan; 46(1):93-102. PubMed ID: 28451534
    [TBL] [Abstract][Full Text] [Related]  

  • 7. System and Method for Driver Drowsiness Detection Using Behavioral and Sensor-Based Physiological Measures.
    Bajaj JS; Kumar N; Kaushal RK; Gururaj HL; Flammini F; Natarajan R
    Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772333
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Association of Subjective and Interpretive Drowsiness with Facial Dynamic Changes in Simulator Driving.
    Karchani M; Mazloumi A; NaslSaraji G; Akbarzadeh A; Niknezhad A; Ebrahimi MH; Raei M; Khandan M
    J Res Health Sci; 2015; 15(4):250-5. PubMed ID: 26728912
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The detection of drowsiness using a driver monitoring system.
    Schwarz C; Gaspar J; Miller T; Yousefian R
    Traffic Inj Prev; 2019; 20(sup1):S157-S161. PubMed ID: 31381433
    [No Abstract]   [Full Text] [Related]  

  • 10. Efficient driver drowsiness detection at moderate levels of drowsiness.
    Forsman PM; Vila BJ; Short RA; Mott CG; Van Dongen HP
    Accid Anal Prev; 2013 Jan; 50():341-50. PubMed ID: 22647383
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multi-sensor driver monitoring for drowsiness prediction.
    Schwarz C; Gaspar J; Yousefian R
    Traffic Inj Prev; 2023; 24(sup1):S100-S104. PubMed ID: 37267009
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Driver Drowsiness Detection: A Machine Learning Approach on Skin Conductance.
    Amidei A; Spinsante S; Iadarola G; Benatti S; Tramarin F; Pavan P; Rovati L
    Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112345
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Monitoring System of Drowsiness and Lost Focused Driver Using Raspberry Pi.
    Adi K; Widodo CE; Widodo AP; Aristia HN
    Iran J Public Health; 2020 Sep; 49(9):1675-1682. PubMed ID: 33643942
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A systematic review of physiological signals based driver drowsiness detection systems.
    Saleem AA; Siddiqui HUR; Raza MA; Rustam F; Dudley S; Ashraf I
    Cogn Neurodyn; 2023 Oct; 17(5):1229-1259. PubMed ID: 37786662
    [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. Driver drowsiness detection based on non-intrusive metrics considering individual specifics.
    Wang X; Xu C
    Accid Anal Prev; 2016 Oct; 95(Pt B):350-357. PubMed ID: 26433567
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.