ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.04048
  4. Cited By
Studying Drowsiness Detection Performance while Driving through Scalable
  Machine Learning Models using Electroencephalography
v1v2v3 (latest)

Studying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using Electroencephalography

8 September 2022
José Manuel Hidalgo Rogel
Enrique Tomás Martínez Beltrán
Mario Quiles Pérez
Sergio López Bernal
Gregorio Martínez Pérez
Alberto Huertas Celdrán
ArXiv (abs)PDFHTML

Papers citing "Studying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using Electroencephalography"

3 / 3 papers shown
Title
A Compact and Interpretable Convolutional Neural Network for
  Cross-Subject Driver Drowsiness Detection from Single-Channel EEG
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG
Jian Cui
Zirui Lan
Yisi Liu
Ruilin Li
Fan Li
O. Sourina
W. Müller-Wittig
36
88
0
30 May 2021
EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic
  Training
EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training
Yuqi Cui
Yifan Xu
Dongrui Wu
41
63
0
25 Sep 2019
A Multimodal Approach to Estimating Vigilance Using EEG and Forehead EOG
A Multimodal Approach to Estimating Vigilance Using EEG and Forehead EOG
Wei-Long Zheng
Bao-Liang Lu
37
287
0
25 Nov 2016
1