EOG pattern recognition trial for a human computer interface

Authors:
Sara Brunner;Sten Hanke;Siegfried Wassertheuer;Andreas Hochgatterer
Affiliations:
University of Applied Sciences Linz, FH Linz Medizintechnik;Austrian Research Centers GmbH, ARC;Austrian Research Centers GmbH, ARC;Austrian Research Centers GmbH, ARC
Venue:
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
Year:
2007

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Abstract

The setup of a human computer interaction electrooculography (EOG) measurement trail for developing pattern recognition algorithms is described. With an easy to wear EOG measurement device we relized performance tests with a group of normal individuals as well as with one individual suffering from multiple sclerosis (MS). The individuals had to perform different eye movement patterns for coding information to control the environment. Different patterns of recognition in the time domain have been tried and implemented to perform online performance tests. The aim is to develop an EOG based communication device passed on pattern recognition algorithms for user with limited functionality.