EOG-Based Eye-Writing Systems: 2013-2025 Review
Gazi University Journal of Science, cilt.39, sa.3, ss.1719-1745, 2026 (ESCI, Scopus, TRDizin)
- Yayın Türü: Makale / Derleme
- Cilt numarası: 39 Sayı: 3
- Basım Tarihi: 2026
- Doi Numarası: 10.35378/gujs.1915454
- Dergi Adı: Gazi University Journal of Science
- Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, TR DİZİN (ULAKBİM), Academic Search Ultimate (EBSCO), Biomedical Reference Collection: Corporate Edition (EBSCO), Engineering Source (EBSCO)
- Sayfa Sayıları: ss.1719-1745
- Anahtar Kelimeler: EOG, Eye-writing, Machine learning, Pattern recognition, Virtual keyboard
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Ondokuz Mayıs Üniversitesi Adresli: Evet
Özet
This paper comprehensively reviews eye-writing systems based on electrooculographic (EOG) signals. These systems, which enable communication by utilising the potential changes caused by eye movements, are generally classified into two main groups in the literature: virtual keyboard-based and pattern recognition-based. Virtual keyboard systems rely on thresholding methods and do not require artificial intelligence algorithms. On the other hand, in pattern recognition systems, character input is provided by users following specific eye movement patterns, and these patterns are analysed using artificial intelligence-based classification algorithms. In this context, the hardware, signal processing techniques, classification algorithms and interface designs have been systematically analysed by evaluating the studies published in the last twelve years.