mEBAL2 Database and Benchmark: Image-based Multispectral Eyeblink Detection

arXiv:2309.07880v2 Announce Type: replace
Abstract: This work introduces a new multispectral database and novel approaches for eyeblink detection in RGB and Near-Infrared (NIR) individual images. Our contributed dataset (mEBAL2, multimodal Eye Blink and Attention Level estimation, Version 2) is the largest existing eyeblink database, representing a great opportunity to improve data-driven multispectral approaches for blink detection and related applications (e.g., attention level estimation and presentation attack detection in face biometrics). mEBAL2 includes 21,100 image sequences from 180 different students (more …

abstract arxiv attention benchmark blink contributed cs.cv cs.hc data database data-driven dataset detection image images multimodal near novel type work