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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Auteurs principaux:	Dmitry Yu Isaev, Samantha Major, Kimberly L. H. Carpenter, Jordan Grapel, Zhuoqing Chang, Matias Di Martino, David Carlson, Geraldine Dawson, Guillermo Sapiro
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2025-08-01
Collection:	Scientific Reports
Sujets:	EEG Visual attention Computer vision Machine learning Data processing automation
Accès en ligne:	https://doi.org/10.1038/s41598-025-10511-2
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