Automated Correction of Eye‐Tracking Data for Detecting Difficult‐to‐Read Characters in Japanese Text
Yudai Ito,
Chikako Ishizawa,
Yoichi Kageyama
Abstract:This paper proposes a new eye‐tracking data correction method for the development of an automatic detection system for difficult‐to‐read characters in Japanese text. The proposed method, which adjusts the x‐axis of the eye, was compared with existing methods that adjust only the y‐axis. Data correction was performed for each method, and the detection accuracy of difficult‐to‐read Japanese characters was calculated and compared. The experimental results indicate that adjusting the x‐axis and y‐axis can improve … Show more
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