Real-time Electrooculogram Processing
Real-Time Electrooculogram Processing is a computational framework within biomedical signal analysis that enables the continuous acquisition, filtering, and interpretation of electrooculographic signals with minimal latency, distinguishing itself by supporting immediate ocular movement detection and feedback for interactive or diagnostic applications.
29
Publications
1K
Citations
110
Authors
39
Institutions
Publications per year
2017–2026
12
Parents
29
A Novel Wearable Forehead EOG Measurement System for Human Computer Interfaces
Heenam Yoon, Kwang Joo Park · Sensors · 2017 · 102 citations · Full text
Engineering, Neurology, Neuroscience +17
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39

Jadavpur University
Kolkata, India
3 h-index
16 publications
314 citations

Hanyang University
Seoul, South Korea
2 h-index
6 publications
384 citations

South China University of Technology
Guangzhou, China
1 h-index
3 publications
126 citations
Universidad Autónoma del Estado de Hidalgo
Pachuca, Mexico
1 h-index
1 publications
28 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
6 publications
258 citations

Xi'an Jiaotong University
Xi'an, China
1 h-index
8 publications
208 citations

Universidad de Alcalá
Alcalá de Henares, Spain
1 h-index
5 publications
340 citations
Vietnam Academy of Science and Technology
Hanoi, Vietnam
1 h-index
1 publications
20 citations
1–8 of 39
3 publications · 82 citations
3
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3 publications · 198 citations
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1 publications · 35 citations
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1 publications · 12 citations
1
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1 publications · 46 citations
1
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1–5