Use of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli

Use of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli

Abstract Electroencephalography (EEG) recordings with visual stimuli require detailed coding to determine the periods of participant’s attention. Here we propose to use a supervised machine learning model and off-the-shelf video cameras only. We extract computer vision-based features such as head po...

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Bibliographic Details
Main Authors: Dmitry Yu Isaev, Samantha Major, Kimberly L. H. Carpenter, Jordan Grapel, Zhuoqing Chang, Matias Di Martino, David Carlson, Geraldine Dawson, Guillermo Sapiro
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
EEG
Visual attention
Computer vision
Machine learning
Data processing automation
Online Access:https://doi.org/10.1038/s41598-025-10511-2
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