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眼球运动相关EOG信号的波形分析与特征提取 被引量：2

Analysis and extraction of eigenvalues based on eye movement related electrooculography
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摘要 人 计算机交互系统 (HCI)是当前计算机与人自然交流的研究热点之一。从眼眶周围记录的眼电图信号 (EOG)可以转化为坐标去控制计算机。本文讨论了与眼球扫视运动相关的EOG波形在时域、频域内的分析及特征的提取 ,并应用简单贝斯分类算法建立原型系统。通过对实验数据的统计分析 ,初步验证了将眼电图信号转化为坐标点的可行性。 Human computer interactions(HCI)have become an important area of research and appliacation.Electrical potentials recorded by horizontal and vertical electrooculography(EOG) can be transformed into cursor that is used to control computer.In this paper ,the eignevalues of eye movement related DOG signal on time and frequency domain have been analyzed and extracted,and this control method have been verified practical by developing a simple prototype system based on Bayes rule.
作者 张霖 王行愚 姚晓东 邹俊忠
机构地区 华东理工大学信息学院自动控制系
出处 《上海生物医学工程》 2003年第3期19-22,共4页 Shanghai Journal of Biomedical Engineering
关键词 眼电图 人-计算机交互系统 眼球扫视运动 眼电图 贝斯分决策 坐标点 Savitzky-Golay滤波器 Human computer interactios EOG Savitzky Golay filter Bayes rule
分类号 R-39 [医药卫生]
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共引文献40

同被引文献16

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上海生物医学工程
2003年 第3期

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