Investigating effects of Levenshtein distance algorithm on accuracy performance in EEG based communication system

Authors : Güneş Ekim, Nuri İkizler, Ayten Atasoy

Pages : 357-367

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Publication Date : 2025-06-30

Article Type : Research Paper

Abstract :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-blink signals 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.
Keywords : EEG, Beyin-bilgisayar arayüzü, Dalgacık dönüşümü, Destek vektör makineleri, Levenshtein mesafe algoritması, göz-kırpma tespiti

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