Noise robustness evaluation of image processing algorithms for eye blinking detection
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Published:2025-01
Issue:
Volume:239
Page:115508
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ISSN:0263-2241
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Container-title:Measurement
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language:en
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Short-container-title:Measurement
Author:
Di Nisio Attilio,
D’Alessandro Vito Ivano,
Scarcelli GiulianoORCID,
Lanzolla Anna Maria Lucia,
Attivissimo Filippo
Reference47 articles.
1. J. Acharjee, S. Deb, Identification of Significant Eye Blink for Tangible Human Computer Interaction, in: 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), IEEE, 2021 179–183. doi: 10.1109/ICACITE51222.2021.9404595.
2. Eye-blink detection system for human–computer interaction;Królak;Univers Access Inf Soc,2012
3. A Human-computer control system based on intelligent recognition of eye movements and its application in wheelchair driving;Luo;Multimodal Technologies and Interaction,2021
4. Convolutional neural networks emotion recognition and blink characteristics analysis for operator state estimation;Korsun;Procedia Comput Sci,2021
5. Emotion recognition Using Eye-Tracking: taxonomy;Lim;Review and Current Challenges, Sensors,2020