An HMM-based Eye Movement Detection System Using EEG Brain-Computer Interface

被引：0

作者：

Hsieh, Chi-Hsuan ^{[1
]}

Chu, Hao-Ping ^{[1
]}

Huang, Yuan-Hao ^{[1
]}

机构：

[1] Natl Tsing Hua Univ, Inst Commun Engn, Dept Elect Engn, Hsinchu, Taiwan

来源：

2014 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) | 2014年

关键词：

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：

This paper presents an eye movement detection system based on EEG-based brain-computer interface (BCI). The proposed system performs feature extraction of the EEG signals and uses hidden Markov model (HMM) to perform eye movement detection. The proposed system is implemented on an FPGA board to form a real time BCI control system with a laptop. The users wearing a EEG headset can control a game on the computer by moving their eyeballs toward directions of left/right and up/down. This proposed system achieves a nearly 90% detection rate without training.

引用

页码：662 / 665

页数：4

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