Literature DB >> 12236327

Tracking eye fixations with electroocular and electroencephalographic recordings.

Carrie A Joyce1, Irina F Gorodnitsky, Jonathan W King, Marta Kutas.   

Abstract

We describe a method, based on recordings of the electroencephalogram (EEG) and eye movement potentials (electrooculogram), to track where on a screen (x,y coordinates) an individual is fixating. The method makes use of an empirically derived beam-forming filter (derived from a sequence of calibrated eye movements) to isolate eye motion from other electrophysiological and ambient electrical signals. Electrophysiological researchers may find this method a simple and inexpensive means of tracking eye movements and a useful complement to scalp recordings in studies of cognitive phenomena. The resolution is comparable to that of many commercial systems; the method can be implemented with as few as four electrodes around the eyes to complement the EEG electrodes already in use. This method may also find some specialized applications such as studying eye movements during sleep and in human-machine interfaces that make use of gaze information.

Entities:  

Mesh:

Year:  2002        PMID: 12236327     DOI: 10.1017.S0048577202394113

Source DB:  PubMed          Journal:  Psychophysiology        ISSN: 0048-5772            Impact factor:   4.016


  4 in total

1.  Head eye co-ordination using simultaneous measurement of eye in head and head in space movements: potential for use in subjects with a whiplash injury.

Authors:  Helena Grip; Gwendolen Jull; Julia Treleaven
Journal:  J Clin Monit Comput       Date:  2009-02-07       Impact factor: 2.502

2.  Removing the Interdependency between Horizontal and Vertical Eye-Movement Components in Electrooculograms.

Authors:  Won-Du Chang; Ho-Seung Cha; Chang-Hwan Im
Journal:  Sensors (Basel)       Date:  2016-02-14       Impact factor: 3.576

Review 3.  Eye Movements and Fixation-Related Potentials in Reading: A Review.

Authors:  Federica Degno; Simon P Liversedge
Journal:  Vision (Basel)       Date:  2020-02-03

4.  Development of an electrooculogram-based eye-computer interface for communication of individuals with amyotrophic lateral sclerosis.

Authors:  Won-Du Chang; Ho-Seung Cha; Do Yeon Kim; Seung Hyun Kim; Chang-Hwan Im
Journal:  J Neuroeng Rehabil       Date:  2017-09-08       Impact factor: 4.262

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.