Personalized alertness prediction using video-based ocular and facial features

Authors

Institutions

Publication Details

Journal
SLEEP
Published
2025-05-29
DOI
https://doi.org/10.1093/sleep/zsaf149
Citations
1
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
1.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Personalized alertness prediction using video-based ocular and facial features

Tracy Jill Doty, Jaques Reifman, Ian Anlap, Francisco G Vital-Lopez et al.
1 citations
SLEEP
Gaze Tracking and Assistive Technology
1.94
article

Personalized alertness prediction using video-based ocular and facial features

Tracy Jill Doty, Jaques Reifman, Ian Anlap, Francisco G Vital-Lopez, Manivannan Subramaniyan, William D. S. Killgore
article en
1 citations

Abstract

No abstract available for this paper.
SLEEPVol. 48(11)
Henry M. Jackson Foundation (US), University of Arizona (US), Defense Health Agency (US), United States Army Medical Research and Development Command (US), Walter Reed Army Institute of Research (US)
Openalex Percentile: Top 16%
Gaze Tracking and Assistive Technology
1.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.