摘要
提出了一种基于理想EOG曲线的处理算法从包含噪声和非线性漂移的EOG信号中提取扫视运动发生时眼球的位置数据。其基本思想是,根据眼运动的特点构造理想EOG曲线模型;基于理想EOG曲线提取特征值,根据特征值分类提取位置数据。通过一个实验讨论了算法的有效性,实验证明对扫视运动偏转角的提取可以精确到4°。
A signal processing algorithm based on ideal EOG profile is proposed to extract the position data where a saccade occurred from the noisy and non-linear drifts included EOG signals. The main idea of this algorithm is, firstly, construct a ideal EOG profile model from the study of saccade movements; and then, extract features from saccade signal on the base of ideal EOG profile; and obtain position data by future classification in the end. At the last of the paper, an experiment is performed for validating the algorithm and a conclusion is given to show that the precision of saccade angle extraction have reached 4 degree.
出处
《华东理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2005年第2期212-214,共3页
Journal of East China University of Science and Technology
