Rating visual capability for computer access with a fuzzy rule-based model

被引:0
|
作者
Pushchak, TA [1 ]
Sasi, S [1 ]
机构
[1] Community Resources Independence Inc, Erie, PA USA
来源
METMBS '04: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MATHEMATICS AND ENGINEERING TECHNIQUES IN MEDICINE AND BIOLOGICAL SCIENCES | 2004年
关键词
visual disability; fuzzy logic; expert system; vision rating; computer access; intelligent model;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Visual impairment is a loss of vision that makes it hard or impossible to perform day-to-day activities, and is considered to be one of the most feared disabilities. People who have low vision or are blind often rely on assistive supports when using computers, since a standard computer system may not provide the appropriate needed support. A comprehensive assessment of the user's visual abilities is essential in determining the most appropriate combination of user interface devices and software. A user's visual capability can be assessed by measuring acuity with the Snellen or Baily-Lovie charts, contrast sensitivity with the Pelli-Robson chart, color perception with the Ishihara or Farnsworth D-15 tests, field of vision with projection perimetry techniques, and tracking and light sensitivity by clinical observation. This paper presents a novel architecture for a fuzzy rule-based expert system that can rate visual capability of individuals with visual impairments for computer access.
引用
收藏
页码:443 / 446
页数:4
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