Assessing dyslexia with machine learning: a pilot study utilizing Google ML Kit
Künye
Eroğlu, G. & Harb, M. R. A. (2023). Assessing dyslexia with machine learning: a pilot study utilizing Google ML Kit. Paper presented at the 2023 Medical Technologies Congress (TIPTEKNO), 1-4. doi:10.1109/TIPTEKNO59875.2023.10359236Özet
In this study, we explore the application of Google ML Kit, a machine learning development kit, for dyslexia detection in the Turkish language. We collected face-tracking data from two groups: 49 dyslexic children and 22 typically developing children. Using Google ML Kit and other machine learning algorithms based on eye-tracking data, we compared their performance in dyslexia detection. Our findings reveal that Google ML Kit achieved the highest accuracy among the tested methods. This study underscores the potential of machine learning-based dyslexia detection and its practicality in academic and clinical settings.
Kaynak
2023 Medical Technologies Congress (TIPTEKNO)İlgili Öğeler
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