Electrooculography based blink detection to prevent Computer Vision Syndrome-Reference-Cited by-同舟云学术

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Electrooculography based blink detection to prevent Computer Vision Syndrome

Published:2014-01 Issue: Volume: Page:
ISSN:
Container-title:2014 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
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Author:

Pal Monalisa,Banerjee Anwesha,Datta Shreyasi,Konar Amit,Tibarewala D. N.,Janarthanan R.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6729392/6740167/06740337.pdf?arnumber=6740337

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Uncovering and Addressing Blink-Related Challenges in Using Eye Tracking for Interactive Systems;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. High Precision Eye Tracking Based on Electrooculography (EOG) Signal Using Artificial Neural Network (ANN) for Smart Technology Application;2021 24th International Conference on Computer and Information Technology (ICCIT);2021-12-18

3. Eslucent;Proceedings of the 2020 International Symposium on Wearable Computers;2020-09-04

4. SEQUENCE: a remote control technique to select objects by matching their rhythm;Personal and Ubiquitous Computing;2018-03-22

5. Real Time Eye Blink Detection Method for Android Device Controlling;Intelligent Systems Reference Library;2017-10-27

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