基于CNN和LSTM的眼疲勞預(yù)測(cè)方法研究

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中圖分類號(hào)：R77；TP183 文獻(xiàn)標(biāo)志碼：B 文章編碼：1672-7274（2025）05-0035-04

Abstract： The prediction of eye fatigue is of great significance for the prevention of eye diseases and the construction of eye health care systems.This article combines CNNand LSTMalgorithms to establish a prediction model for eye electrical signals. Using data from the SEED-VIG database，atraining model for eye fatigue prediction dataset is constructed and compared with three other models for verification.The experimental results show that this method can effectively predict the grading status of eye fatigue，providing acertain reference for subsequentresearch and offering new methods for the prevention and health care of eye diseases.

Keywords： prediction of eye fatigue; CNN-LSTM; EOG; eye disease prevention

眼疲勞是一種由于長(zhǎng)時(shí)間用眼，特別是在使用電子屏幕設(shè)備后常見(jiàn)的癥狀。（剩余4209字）