Name
Abstract | ||
|---|---|---|
Human eye blinks include voluntary (conscious) blinks and involuntary (unconscious) blinks. If voluntary blinks can be detected automatically, then input decisions can be made when voluntary blinks occur. Previously, we proposed a novel eye blink detection method using a Hi-Vision video camera. This method utilizes split interlaced images of the eye, which are generated from 1080i Hi-Vision format images. The proposed method yields a time resolution that is twice as high as that of the 1080i Hi-Vision format. We refer to this approach as the frame-splitting method. In this paper, we propose a new method for automatically classifying eye blink types on the basis of specific characteristics using the frame-splitting method. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-39360-0_13 | HCI (16) |
Keywords | Field | DocType |
novel eye blink detection,method utilizes,hi-vision format image,proposed method yield,human eye,hi-vision format,new method,frame-splitting method,automatic classification,hi-vision video camera,classifying eye blink type,natural light | Human eye,Computer vision,Computer science,Artificial intelligence,Eye blink,Video camera | Conference |
Citations | PageRank | References |
2 | 0.45 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kiyohiko Abe | 1 | 14 | 4.66 |
| Hironobu Sato | 2 | 2 | 1.13 |
| Shogo Matsuno | 3 | 4 | 1.21 |
| Shoichi Ohi | 4 | 14 | 3.65 |
| Minoru Ohyama | 5 | 33 | 9.48 |