EOG眼电信号检测与特征识别

Detection and Feature Recognition on Electrooculography Signal

近年来,应用眼电信号实现无障碍人机交互是国内外的研究热点。设计了一套眼电信号采集检测系统,详细介绍了其中的信号放大模块、电缆驱动电路以及带通滤波模块。对采集的眨眼信号和眼球上下左右扫视运动信号进行特征分析,根据眼电信号脉冲波形的幅值和脉宽特征,提出了有意识眨眼信号和上下左右扫视运动信号的识别算法,并给出了具体的程序流程。

In recent years,research of Electrooculography-based human-computer interaction is becoming a hot spot.In this paper,the system of detecting Electrooculography（EOG） signal is designed.The signal amplification module,the cable driving module and the band filter of the detection system are introduced.Then,features of the sampled EOG signal including the blinks and the saccades（eyes moving left,right,up and down） are analyzed.Based on the features of amplitude and width of the EOG pulses,the method of recognizing the voluntary blinks and the saccades is proposed.Also,the detailed program idea is given.