Design of a robust method to acquire EOG signals using Bio-medical signal processing

被引：0

作者：

Raman, Suraj Kiran ^{[1
]}

Jayaram, Jayadev Kumar ^{[1
]}

Murugan, Sidhaarth ^{[1
]}

Saha, Arnab ^{[1
]}

Kavitha, R. K. ^{[1
]}

机构：

[1] Natl Inst Technol, Dept Elect & Commun Engn, Tiruchirappalli, Tamil Nadu, India

来源：

PROCEEDINGS OF 2016 ONLINE INTERNATIONAL CONFERENCE ON GREEN ENGINEERING AND TECHNOLOGIES (IC-GET) | 2016年

关键词：

Electrooculogram; Human eye movement tracking; Ackerberg-Mosberg Topology; Gestures;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Bio-medical electronic systems are designed not only to improve methods of diagnosis in healthcare but also to enhance the daily life of the people who are physically challenged. In this paper a complete analog based Biomedical electronic system is proposed to aid people affected with Paralysis, Quadriplegia and Hemiparesis to interact using their eye motor coordination. The electrooculogram signals (EOG) are processed using an analog front end system and decoded to actuate necessary action. Three gestures are recognized and the experimental results of the system are obtained on LabVIEW. The application of the system is demonstrated by allowing the user to communicate with the computer using his eye movements.

引用

页数：4

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