title: DASHER--an efficient writing system for brain-computer interfaces?
abstract: DASHER is a human-computer interface for entering text using continuous or discrete gestures. Through its use of an internal language model, DASHER efficiently converts bits received from the user into text, and has been shown to be a competitive alternative to existing text-entry methods in situations where an ordinary keyboard cannot be used. We propose that DASHER would be well-matched to the low bit-rate, noisy output obtained from brain-computer interfaces (BCIs), and discuss the issues surrounding the use of DASHER with BCI systems.
authors.affiliation: Department of Physics, University of Cambridge, Cambridge CB3 0HE, UK. saw27@mrao.cam.ac.uk
authors.forename: Sebastian A
authors.initials: SA
authors.lastname: Wills
authors.forename: David J C
authors.initials: DJ
authors.lastname: MacKay
mesh_terms: D001921:Brain / Q000502:physiology*; D003143:Communication Devices for People with Disabilities; D016287:Computer Peripherals; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D008328:Man-Machine Systems; D012984:Software; D013813:Therapy, Computer-Assisted / Q000379:methods*; D014584:User-Computer Interface; D014956:Writing