Name
Abstract | ||
|---|---|---|
Face perception and text reading are two of the most developed visual perceptual skills in humans. Understanding which features in the respective visual patterns make them differ from each other is very important for us to investigate the correlation between human's visual behavior and cognitive processes. We introduce our fuzzy signatures with a Levenberg-Marquardt optimization method based hybrid approach for recognizing the different eye gaze patterns when a human is viewing faces or text documents. Our experimental results show the effectiveness of using this method for the real world case. A further comparison with Support Vector Machines (SVM) also demonstrates that by defining the classification process in a similar way to SVM, our hybrid approach is able to provide a comparable performance but with a more interpretable form of the learned structure. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-642-03040-6_80 | Advances in Neuro-Information Processing |
Keywords | Field | DocType |
levenberg-marquardt optimization method,hybrid fuzzy approach,human eye gaze pattern,support vector machines,text reading,visual perceptual skill,text document,respective visual pattern,hybrid approach,classification process,cognitive process,visual behavior,face perception,support vector machine,pattern recognition,eye gaze,levenberg marquardt | Gaze,Face perception,Pattern recognition,Computer science,Fuzzy logic,Support vector machine,Perceptual learning,Eye tracking,Artificial intelligence,Decision boundary,Machine learning,Visual perception | Conference |
Volume | ISSN | Citations |
5507 | 0302-9743 | 8 |
PageRank | References | Authors |
0.71 | 7 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dingyun Zhu | 1 | 87 | 9.19 |
| B. Sumudu Mendis | 2 | 8 | 0.71 |
| T. D. Gedeon | 3 | 1255 | 86.44 |
| Akshay Asthana | 4 | 729 | 25.02 |
| Roland Goecke | 5 | 1323 | 69.44 |