Name
Abstract | ||
|---|---|---|
Developmental dysgraphia, being observed among 10-30% of school-aged children, is a disturbance or difficulty in the production of written language that has to do with the mechanics of writing. The objective of this study is to propose a method that can be used for automated diagnosis of this disorder, as well as for estimation of difficulty level as determined by the handwriting proficiency scree... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/THMS.2016.2586605 | IEEE Transactions on Human-Machine Systems |
Keywords | Field | DocType |
Feature extraction,Writing,Training,Estimation,Production,Mathematical model,Databases | Graphics tablet,Normalization (statistics),Handwriting,Computer science,Preliminary diagnosis,Written language,Speech recognition,Feature extraction,Natural language processing,Artificial intelligence,Random forest,Dysgraphia | Journal |
Volume | Issue | ISSN |
47 | 2 | 2168-2291 |
Citations | PageRank | References |
5 | 0.68 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiří Mekyska | 1 | 150 | 22.28 |
| Marcos Faundez-Zanuy | 2 | 5 | 1.01 |
| Zdenek Mzourek | 3 | 8 | 1.56 |
| Galaz, Z. | 4 | 20 | 3.95 |
| Zdenek Smékal | 5 | 112 | 16.25 |
| Sara Rosenblum | 6 | 29 | 5.91 |