DocumentCode
2776884
Title
Neural Signal Based Control of the Dasher Writing System
Author
Felton, Elizabeth A. ; Lewis, Nina L. ; Wills, Sebastian A. ; Radwin, Robert G. ; Williams, Justin C.
Author_Institution
Dept. of Biomed. Eng., Wisconsin Univ., Madison, WI
fYear
2007
fDate
2-5 May 2007
Firstpage
366
Lastpage
370
Abstract
Integration of the Dasher text-entry program with a brain-computer interface (BCI) system may give individuals with severe motor disabilities the ability to write using their neural signals. Five able-bodied participants previously trained to control their neural signals using motor imagery in an electroencephalogram-based BCI study were trained to control the Dasher program using similar methods. The time to write simple phrases in Dasher using BCI and standard mouse inputs were compared. To compare with existing technology, four disabled participants wrote the same phrases using their own augmentative communication input. The time to input phrases with Dasher-BCI was greater than that for Dasher-mouse and other alternative inputs. However, as Dasher is optimized for BCI control, it will become increasingly useful for people with severe motor and speech disabilities.
Keywords
electroencephalography; handicapped aids; neurophysiology; user interfaces; word processing; Dasher text-entry program; Dasher writing system; augmentative communication; brain-computer interface system; electroencephalogram-based BCI; motor imagery; neural signal based control; Communication system control; Computer interfaces; Control systems; Electroencephalography; Mice; Muscles; Neural engineering; Predictive models; Speech; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering, 2007. CNE '07. 3rd International IEEE/EMBS Conference on
Conference_Location
Kohala Coast, HI
Print_ISBN
1-4244-0792-3
Electronic_ISBN
1-4244-0792-3
Type
conf
DOI
10.1109/CNE.2007.369686
Filename
4227291
Link To Document