Name
Title | ||
|---|---|---|
An adaptive eye gaze tracker system in the integrated cloud computing and mobile device |
Abstract | ||
|---|---|---|
This paper proposed an adaptive method for tracking eye gaze in the integrated cloud computing and mobile device environment. The task begins with extracting the eye position and the iris contour base on geometrical features. These local gaze features are calculate and integrated to train a neural network. And the estimated gaze point is outputted from the trained NN (Neural Network) in the cloud computing. A utility function is proposed to decide the functionality is performed in the cloud or mobile device adaptively based on device and network conditions. Besides, our proposed method can improve system performance as well as overcome the problem for limited resource of mobile device. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICMLC.2011.6016686 | ICMLC |
Keywords | Field | DocType |
iris contour,eye,mobile handsets,geometrical feature extraction,mobile device,learning (artificial intelligence),neural network training,eye tracking,iris recognition,feature extraction,eye position,adaptive eye gaze tracker system,ann,cloud computing,mobile computing,gaze point estimation,learning artificial intelligence,artificial neural network,system performance,neural network,tracking,artificial neural networks,eye gaze,adaptive systems,adaptive system | Mobile computing,Computer vision,Iris recognition,Gaze,Computer science,Feature extraction,Mobile device,Eye tracking,Artificial intelligence,Artificial neural network,Cloud computing | Conference |
Volume | ISSN | ISBN |
1 | 2160-133X | 978-1-4577-0305-8 |
Citations | PageRank | References |
3 | 0.40 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chiao-Wen Kao | 1 | 3 | 1.41 |
| Che-Wei Yang | 2 | 3 | 0.73 |
| Kuo-chin Fan | 3 | 1369 | 117.82 |
| Bor-Jiunn Hwang | 4 | 45 | 12.62 |
| Chin-Pan Huang | 5 | 57 | 7.56 |