Investigating Physiological and Behavioral Sensing Modalities Toward Drowsiness Detection
Author:
Affiliation:
1. Department of Electrical and Computer Systems Engineering, Monash University, Clayton, VIC, Australia
2. Turner Institute for Brain and Mental Health and the School of Psychological Sciences, Monash University, Clayton, VIC, Australia
Funder
Australian Government Research Training Program (RTP) Scholarship
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10336249/10298032.pdf?arnumber=10298032
Reference50 articles.
1. A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection
2. YawDD: Yawning detection dataset;abtahi;Proc 5th ACM Multimedia Conf,2020
3. Can Your Eyes Tell Me How You Think? A Gaze Directed Estimation of the Mental Activity
4. Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients
5. Driver drowsiness detection via a hierarchical temporal deep belief network;weng;Proc Asian Conf Comput Vis,2016
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