Title :
De-noising and Recognition of EOG Signal Based on Mathematical Morphology
Author :
Pan Jiang ; Runjing Zhou
Author_Institution :
Coll. of Electron. Inf. Eng., Inner Mongolia Univ., Hohhot, China
Abstract :
The EOG (Electro-Oculography) signal is disturbed by noise and baseline drift, which make it more difficulty to be recognized. In this research, a new algorithm based on mathematical morphology filtering method was proposed to reduce interference from noise and baseline drift. After de-noising, the 5 types of eye movements can be recognized well by threshold detection and average recognition accuracy is about 93%.
Keywords :
electro-oculography; filtering theory; gaze tracking; interference suppression; mathematical morphology; medical signal processing; signal denoising; EOG signal denoising; EOG signal recognition; baseline drift; electro-oculography; eye movements; interference reduction; mathematical morphology filtering method; threshold detection; Corrosion; Digital filters; Electrooculography; Morphology; Noise; Noise reduction; De-noising; EOG; Mathematical morphology; Recognition;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
Conference_Location :
Hangzhou
DOI :
10.1109/ISCID.2013.201
