A Research on EOG Feature Parameters Eztraction Based on Linear Predictive Coding Model
EOG is a very effective eye movement recording method, which is not only noninvasive, but also can record any eye movements information. In order to extract some features come form these information contained in EOG automatically, this paper presents a novel EOG feature parameters extraction algorithm. The proposed algorithm includes three main parts. The first is endpoint detection unit which detects the startpoint and endpoint of EOG signals. The second is a preprocessor which consists of band-pass filter, frame blocking procedure and windowing step. The third is feature parameters extracting part which extracts EOG feature by a linear predictive coding model and converts LPC parameters to LPC cepstral (LPCC) coefficients. Finally, the paper gives experimental results.
Electrooculogram(EOG) Endpoint Detecting Spectral Entropy Linear Predictive Coding(LPC)
Zhao Lv Xiaopei Wu Mi Li
The Key Laboratory of Intelligent Computing & Signal Processing,Anhui University,Hefei,Anhui Provinc The Key Laboratory of Intelligent Computing & Signal Processing,Anhui University,Hefei,Anhui Provinc The First Aeronautical College of Air-Force,Xinyang,Henan Province,China National Mobile Communicati
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）