眼睛运动模型的设计

Design of eye movement model

现阶段,生物模式识别系统主要有两种实现方案,且这些方案的实现都与眼睛的运动有关,因此这里利用细胞神经网络(CNN),基于欧氏距离的质心(COG)搜索算法以及距离权重选择模型(RSDW)的思想建立了一个眼睛运动模型。该模型输出的眼睛运动轨迹图特性与实际仪器测试的眼睛运动轨迹图特性具有较好的一致性,同时该模型能直接作为生物模式识别系统中信息获取模块的重要组成部分。

At present, the implementation scheme of biological pattern recognition system can be classified into two cate- gories which are related to eye movements. In this paper, based on the cellular neural networks （CNN）, the center of gravity （COG） search algorithm based on Euclidean distance as well as the random selection with distance weighting （RSDW） model, a model of eye movements is proposed. The feature of the eye movement trajectory map of this model has a good consistency with the feature obtained from eye tracking experiment. Also this model can be used as an important part of the information acquisition module of biological pattern recognition system.