Szczegóły publikacji
Opis bibliograficzny
Analysis of the possibilities of using the EOG signal in controlling a mechanical device / Andrzej KOT, Agata NAWROCKA, Alexandr Perciun // W: 2025 26th International Carpathian Control Conference (ICCC) [Dokument elektroniczny] : 19-21 May 2025, Starý Smokovec, Slovakia : proceedings. — Wersja do Windows. — Dane tekstowe. — Piscataway : IEEE, cop. 2025. — Dod. ISBN: 979-8-3315-0126-6, 979-8-3315-0128-0. — e-ISBN: 979-8-3315-0127-3. — S. [1-5]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [4–5], Abstr. — Publikacja dostępna online od: 2025-06-10
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 160609 |
|---|---|
| Data dodania do BaDAP | 2025-06-24 |
| Tekst źródłowy | URL |
| DOI | 10.1109/ICCC65605.2025.11022884 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
Abstract
The article discusses the potential of using electrooculogram (EOG) to control mechanical devices, including prostheses, wheelchairs, and robotic systems. The EOG signal, which is a recording of the electrical activity of the eyeballs, is beautiful in the context of assistive technologies due to its low invasiveness and the availability of signals independent of muscle activity. The research results indicate the usefulness of EOG in systems supporting people with movement disabilities while emphasizing the need for further research on improving the accuracy and reliability of the systems. In particular, researchers highlighted the potential of combining EOG with machine learning technologies, which could significantly enhance the efficiency and personalization of such solutions.
