Title :
DASHER-an efficient writing system for brain-computer interfaces?
Author :
Wills, Sebastian A. ; MacKay, David J C
Author_Institution :
Dept. of Phys., Cambridge Univ., UK
fDate :
6/1/2006 12:00:00 AM
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.
Keywords :
brain; handicapped aids; human computer interaction; medical computing; DASHER; brain-computer interfaces; human-computer interface; writing system; Books; Keyboards; Mobile communication; Mobile computing; Navigation; Personal digital assistants; Predictive models; Two dimensional displays; User interfaces; Writing; Assistive devices; augmentative communication; brain–computer interface (BCI); predictive language model; speller; text entry; user interfaces; Brain; Communication Aids for Disabled; Computer Peripherals; Electroencephalography; Humans; Man-Machine Systems; Software; Therapy, Computer-Assisted; User-Computer Interface; Writing;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2006.875573