The proposed research may offer people who rely on assistive technology an exceptionally efficient method for entering words into computers and other assistive devices. We accomplish this by designing an on-screen keyboard that uses gesture- enhanced word prediction techniques. The keyboard is gesture aware in the sense that it enables a person to enter words by moving the mouse cursor toward several letters in a word without requiring the person to select each on-screen letter by dwelling or clicking on it. The combination of word prediction and gesture recognition techniques may reduce the number of on-screen letters that the user must select by up to 75%. We will develop a prototype of the proposed system, and people who rely on assistive devices will evaluate it.

Public Health Relevance

. The proposed research may offer people with severe disability an exceptionally efficient method for entering words into computers and other assistive devices. ? ?

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
1R43HD058384-01
Application #
7480067
Study Section
Special Emphasis Panel (ZRG1-MOSS-F (15))
Program Officer
Quatrano, Louis A
Project Start
2008-07-01
Project End
2009-06-30
Budget Start
2008-07-01
Budget End
2009-06-30
Support Year
1
Fiscal Year
2008
Total Cost
$99,510
Indirect Cost
Name
Invotek, Inc.
Department
Type
DUNS #
956866784
City
Alma
State
AR
Country
United States
Zip Code
72921