Name
Abstract | ||
|---|---|---|
This paper proposes an automatic eye wink interpretation system for the severely handicapped people. First, we apply the support vector machine (SYM) and template matching algorithm to detect the eyes and then track the eye winks. Then, we convert the sequence of eye winks into code (binary digit) sequence. Finally, we use the dynamic programming to translate the eye wink sequence to a certain command for human-machine interface. In the experiments, our system demonstrates very good performance and high accuracy. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICME.2007.4284816 | 2007 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-5 |
Keywords | Field | DocType |
image processing,human machine interface,template matching,support vector machines,support vector machine,flowcharts,informatics,face detection,gesture recognition,skin,dynamic programming | Template matching,Dynamic programming,Computer vision,Wink,Computer science,Support vector machine,Image processing,Gesture recognition,Speech recognition,Artificial intelligence,Face detection,Flowchart | Conference |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Che Wei-gang | 1 | 0 | 0.68 |
| Chung-Lin Huang | 2 | 540 | 37.61 |
| Wen-Liang Hwang | 3 | 429 | 58.03 |