Name
Abstract | ||
|---|---|---|
This paper proposes an automatic eye-wink interpretation system for human-machine interface to benefit the severely handicapped people. Our system consists of (1) applying the support vector machine (SVM) to detect the eyes, (2) using the template matching algorithm to track the eyes, (3) using SVM classifier to verify the open or closed eyes and convert the eye winks into a sequence of codes (0 or 1), and (4) applying the dynamic programming to translate the code sequence to a certain valid command. Different from the previous eye-gaze tracking methods, our system identifies the open or closed eye, and then interprets the eye winking as certain commands for human-machine interface. In the experiments, our system demonstrates better performance as well as higher accuracy. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1155/2007/65184 | EURASIP J. Image and Video Processing |
Keywords | Field | DocType |
human machine interface | Template matching,Computer vision,Dynamic programming,Pattern recognition,Computer science,Support vector machine,Image processing,Closed eyes,Artificial intelligence,Human–machine interface,Svm classifier,Biometrics | Journal |
Volume | Issue | ISSN |
2007 | 2 | 1687-5281 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Che Wei-gang | 1 | 0 | 0.68 |
| Chung-Lin Huang | 2 | 0 | 0.34 |
| Wen-Liang Hwang | 3 | 32 | 6.93 |