title: EEG-based system for rapid on-off switching without prior learning.
abstract: Details are reported of an EEG-based system that permits a person rapidly and reliably to switch on and off electrical devices without prior learning. The system detects and utilises increases in the amplitude of the alpha component of the EEG spectrum that occur when people close their eyes for more than 1 s. In addition to conventional signal-processing elements, the system incorporates a module for suppressing switching at the output of the system when predetermined noise threshold levels (such as those due to sources of EMG) are exceeded. This work indicates that a majority, perhaps in excess of 90%, of the adult population can demonstrate the control necessary to operate an electrical device or appliance using this system. It is indicated that multi-level switching and quasi-continuous control options are feasible with further development of the system. This work has implications for the design of a system that could be used, for example, to assist the infirm or severely physically disabled to effect greater control over their environment.
authors.affiliation: Faculty of Science, University of Technology, Sydney, NSW, Australia. kirkup@phys.uts.edu.au
authors.forename: L
authors.initials: L
authors.lastname: Kirkup
authors.forename: A
authors.initials: A
authors.lastname: Searle
authors.forename: A
authors.initials: A
authors.lastname: Craig
authors.forename: P
authors.initials: P
authors.lastname: McIsaac
authors.forename: P
authors.initials: P
authors.lastname: Moses
mesh_terms: D000328:Adult; D001921:Brain / Q000502:physiology*; D004560:Electricity; D004569:Electroencephalography; D004777:Environment; D005123:Eye; D006801:Humans; D012815:Signal Processing, Computer-Assisted