Investigating effects of Levenshtein distance algorithm on accuracy performance in EEG based communication system
PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI, cilt.31, sa.3, ss.357-367, 2025 (ESCI, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 31 Sayı: 3
- Basım Tarihi: 2025
- Doi Numarası: 10.5505/pajes.2024.66263
- Dergi Adı: PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI
- Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.357-367
- Karadeniz Teknik Üniversitesi Adresli: Evet
Özet
In our study, we investigated the effects of the Levenshtein distance algorithm on the eye-blink communication system that we developed based on EEG signals for people with severe motor disabilities, such as Amyotrophic Lateral Sclerosis, stroke, and locked-in syndrome. The developed system analyzes eye-blinksignals to extract information and vocalize it. EEG signals were obtained from an electrode above the left eye using a NeuroSky MindWave Mobile device. Morse-coded eye-blink words were input to the system and feature vectors were extracted using the Wavelet Transform method. Support vector machines were trained with these vectors and the Levenshtein distance algorithm was used to reduce classification errors. Finally, the system was completed with a text-to-speech synthesis algorithm. The experiments, which used 20 words for self-expression, obtained highly successful results.