De-noising and recognition of EOG signal based on mathematical morphology

被引：5

作者：

Jiang, Pan ^{[1
]}

Zhou, Runjing ^{[1
]}

机构：

[1] Inner Mongolia Univ, Coll Elect Informat Engn, Hohhot, Peoples R China

来源：

2013 SIXTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2 | 2013年

关键词：

EOG; Mathematical morphology; De-noising; Recognition;

D O I：

10.1109/ISCID.2013.201

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The EOG (Electro-Oculography) signal is disturbed by noise and baseline drift, which make it more difficulty to be recognized. In this research, a new algorithm based on mathematical morphology filtering method was proposed to reduce interference from noise and baseline drift. After de-noising, the 5 types of eye movements can be recognized well by threshold detection and average recognition accuracy is about 93%.

引用

页码：351 / 354

页数：4

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