Video-Based Eye Blink Identification and Classification

Blink detection and classification can provide a very useful clinical indicator, because of its relation with many neurological and ophthalmological conditions. In this work, we propose a system that automatically detects and classifies blinks as " complete " or " incomplete " in...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics Jg. 26; H. 7; S. 3284 - 3293
Hauptverfasser:	Nousias, George, Panagiotopoulou, Eirini-Kanella, Delibasis, Konstantinos, Chaliasou, Aikaterini-Maria, Tzounakou, Anastasia-Maria, Labiris, Georgios
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.07.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Classification Coders Complete and incomplete blink classification Deep learning Diseases Encoders-Decoders eye blink detection Eyelid Eyelids Faces Image acquisition Image resolution Image segmentation Iris iris and eyelid segmentation Machine learning Mathematical analysis Training video analysis
ISSN:	2168-2194, 2168-2208, 2168-2208
Online-Zugang:	Volltext
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