基于CNN和LSTM的眼疲劳预测方法研究

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中图分类号：R77；TP183 文献标志码：B 文章编码：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

眼疲劳是一种由于长时间用眼，特别是在使用电子屏幕设备后常见的症状。（剩余4209字）