Name
Abstract | ||
|---|---|---|
We have developed an eye-gaze input system for people with severe physical disabilities such as amyotrophic lateral sclerosis. The system utilizes a personal computer and a home video camera to detect eye gaze under natural light. It also compensates for measurement errors caused by head movements; in other words, it can detect the eye gaze with a high degree of accuracy. We have also developed a new gaze selection method based on the eye movement history of a user. Using this method, users can rapidly input text using eye gazes. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-73281-5_79 | HCI (6) |
Keywords | Field | DocType |
amyotrophic lateral sclerosis,home video camera,high degree,selection method,input text,eye movement history,measurement error,eye-gaze input system,eye gaze,head movement,natural light,eye movement | Computer vision,Gaze,Head movements,Computer science,Eye tracking on the ISS,Personal computer,Eye movement,Eye tracking,Artificial intelligence,Communication aid,Video camera | Conference |
Volume | ISSN | Citations |
4555 | 0302-9743 | 7 |
PageRank | References | Authors |
1.12 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kiyohiko Abe | 1 | 14 | 4.66 |
| Shoichi Ohi | 2 | 14 | 3.65 |
| Minoru Ohyama | 3 | 33 | 9.48 |