Monitoring of eye movement and its use for artifact elimination

Autor:	A.A Ioannides, L.C Liu, K Haruhana, P.B.C Fenwick, N Hironaga
Rok vydání:	2004
Předmět:	Artifact (error) Computer science business.industry Eye movement General Medicine Gaze Independent component analysis Signal medicine.anatomical_structure Component analysis Principal component analysis medicine Human eye Computer vision Artificial intelligence business
Zdroj:	International Congress Series. 1270:134-137
ISSN:	0531-5131
Popis:	Electrical activity of the human eye generates the electrooculogram (EOG) and contributes to the magneto-encephalographic (MEG) signal. The EOG and MEG signals around each eye are usually modeled by an equivalent current dipole (ECD). Direct information about the gaze position from the eye tracking system (ETS) can be used to simulate the MEG signal. Eye movement-related time courses can also be obtained from decompositions of the MEG signal, using either independent component analysis (ICA) or principal component analysis (PCA). We compared actual measurements with estimated values for eye movements, MEG signals and with ICA/PCA components. These comparisons are used to explore advantages and limitations of each method as it is used separately and in combinations.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c5987bd15ffcf0082d825000486f495f https://doi.org/10.1016/j.ics.2004.04.038 Zobrazit plný text záznamu Full Text from ScienceDirect