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. © Springer-Verlag Berlin Heidelberg 2007.
Author supplied keywords
Cite
CITATION STYLE
Brunner, S., Hanke, S., Wassertheuer, S., & Hochgatterer, A. (2007). EOG pattern recognition trial for a human computer interface. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4555 LNCS, pp. 769–776). Springer Verlag. https://doi.org/10.1007/978-3-540-73281-5_84
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
