175 related articles for article (PubMed ID: 34477030)
1. 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]
2. Driver drowsiness detection based on classification of surface electromyography features in a driving simulator.
Mahmoodi M; Nahvi A
Proc Inst Mech Eng H; 2019 Apr; 233(4):395-406. PubMed ID: 30823855
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Non-Invasive Driver Drowsiness Detection System.
Siddiqui HUR; Saleem AA; Brown R; Bademci B; Lee E; Rustam F; Dudley S
Sensors (Basel); 2021 Jul; 21(14):. PubMed ID: 34300572
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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]
11. 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]
12. 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]
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. Effects of scheduled manual driving on drowsiness and response to take over request: A simulator study towards understanding drivers in automated driving.
Wu Y; Kihara K; Takeda Y; Sato T; Akamatsu M; Kitazaki S
Accid Anal Prev; 2019 Mar; 124():202-209. PubMed ID: 30665055
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. 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]
18. Microneedle Array Electrode-Based Wearable EMG System for Detection of Driver Drowsiness through Steering Wheel Grip.
Satti AT; Kim J; Yi E; Cho HY; Cho S
Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372329
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Predicting drowsy driving in real-time situations: Using an advanced driving simulator, accelerated failure time model, and virtual location-based services.
Wang J; Sun S; Fang S; Fu T; Stipancic J
Accid Anal Prev; 2017 Feb; 99(Pt A):321-329. PubMed ID: 28038346
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]