BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

175 related articles for article (PubMed ID: 36772333)

  • 1. 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]  

  • 2. 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]  

  • 3. Detecting driver drowsiness based on sensors: a review.
    Sahayadhas A; Sundaraj K; Murugappan M
    Sensors (Basel); 2012 Dec; 12(12):16937-53. PubMed ID: 23223151
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Pulse wave sensor for non-intrusive driver's drowsiness detection.
    Hu S; Bowlds RL; Gu Y; Yu X
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():2312-5. PubMed ID: 19965174
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Driver Drowsiness Multi-Method Detection for Vehicles with Autonomous Driving Functions.
    Beles H; Vesselenyi T; Rus A; Mitran T; Scurt FB; Tolea BA
    Sensors (Basel); 2024 Feb; 24(5):. PubMed ID: 38475079
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Lightweight Driver Monitoring System Based on Multi-Task Mobilenets.
    Kim W; Jung WS; Choi HK
    Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31330770
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Trends and Future Prospects of the Drowsiness Detection and Estimation Technology.
    Arakawa T
    Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34883924
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Wearable Driver Distraction Identification On-The-Road via Continuous Decomposition of Galvanic Skin Responses.
    Dehzangi O; Rajendra V; Taherisadr M
    Sensors (Basel); 2018 Feb; 18(2):. PubMed ID: 29414902
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection.
    Kundinger T; Sofra N; Riener A
    Sensors (Basel); 2020 Feb; 20(4):. PubMed ID: 32075030
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Drowsiness measures for commercial motor vehicle operations.
    Sparrow AR; LaJambe CM; Van Dongen HPA
    Accid Anal Prev; 2019 May; 126():146-159. PubMed ID: 29704947
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluating driver drowsiness countermeasures.
    Gaspar JG; Brown TL; Schwarz CW; Lee JD; Kang J; Higgins JS
    Traffic Inj Prev; 2017 May; 18(sup1):S58-S63. PubMed ID: 28323444
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. A hybrid approach for driver drowsiness detection utilizing practical data to improve performance system and applicability.
    Khanehshenas F; Mazloumi A; Nahvi A; Nickabadi A; Sadeghniiat K; Rahimiforoushani A; Aghamalizadeh A
    Work; 2024; 77(4):1165-1177. PubMed ID: 38007634
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of drowsiness events in night shift workers during morning driving.
    Liang Y; Horrey WJ; Howard ME; Lee ML; Anderson C; Shreeve MS; O'Brien CS; Czeisler CA
    Accid Anal Prev; 2019 May; 126():105-114. PubMed ID: 29126462
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Detection and prediction of driver drowsiness using artificial neural network models.
    Jacobé de Naurois C; Bourdin C; Stratulat A; Diaz E; Vercher JL
    Accid Anal Prev; 2019 May; 126():95-104. PubMed ID: 29203032
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Convergent validity of video-based observer rating of drowsiness, against subjective, behavioral, and physiological measures.
    Uchiyama Y; Sawai S; Omi T; Yamauchi K; Tamura K; Sakata T; Nakajima K; Sakai H
    PLoS One; 2023; 18(5):e0285557. PubMed ID: 37155637
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.