Extraction of Eye Position Information from EOG Saccade Signal
Xiaodong Yao · Huadong Li-Gong Daxue xuebao · 2005
In this paper, 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.