Human video database for facial feature detection under spectacles with varying alertness levels: a baseline study

Human video database for facial feature detection under spectacles with varying alertness levels: a baseline study

The pressing demand for workload along with social media interaction leads to diminished alertness during work hours. Researchers attempted to measure alertness level from various cues like EEG, EOG, video-based eye movement analysis, etc. Among these, video-based eyelid and iris motion tracking gai...

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Bibliographic Details
Main Authors: Supratim Gupta, Mayaluri Zefree Lazarus, Nidhi Panda
Format: Article
Language:English
Published: Wiley 2020-04-01
Series:Cognitive Computation and Systems
Subjects:
video signal processing
medical signal processing
eye
face recognition
feature extraction
electroencephalography
electro-oculography
human video database
facial feature detection
spectacles
varying alertness levels
baseline study
pressing demand
social media interaction
diminished alertness
work hours
video-based eye movement analysis
video-based eyelid
motion tracking
eye detection
58 human subjects
facial features
ocular features
eye-blinks
alertness level detection capability
ocular feature detection performance
Online Access:https://digital-library.theiet.org/content/journals/10.1049/ccs.2019.0014

Internet

https://digital-library.theiet.org/content/journals/10.1049/ccs.2019.0014

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