DocumentCode
971007
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
Volume
14
Issue
2
fYear
2006
fDate
6/1/2006 12:00:00 AM
Firstpage
244
Lastpage
246
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;
fLanguage
English
Journal_Title
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1534-4320
Type
jour
DOI
10.1109/TNSRE.2006.875573
Filename
1642779
Link To Document