Name
Title | ||
|---|---|---|
Augmented Reality: Real-Time Information Concerning Medication Consumed by a Patient. |
Abstract | ||
|---|---|---|
This paper describes a mobile prototype capable of recognizing characters from a photograph of a medication package. The prototype was built to work on the iOS platform and was developed using Objective-C and C programming languages. The prototype, capable of recognizing text out of an image, included image processing algorithms, text processing algorithms, and techniques to search and handle information from a database. This prototype is presented as an option for capturing reliable and validated information by using new technologies available to the general population. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3233/978-1-61499-564-7-896 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Personal Health Record,Mobile Health,Optical Character Recognition,Image Processing | Population,Data mining,Real-time data,Computer science,Augmented reality,Emerging technologies,Human–computer interaction,Digital image processing,Multimedia,Computer graphics,Text processing,Drug labeling | Conference |
Volume | ISSN | Citations |
216 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gloria Diodati | 1 | 0 | 0.68 |
| Adrián R. Gómez | 2 | 0 | 0.34 |
| Marcela Martinez | 3 | 9 | 2.25 |
| Daniel Luna | 4 | 41 | 34.35 |
| Fernán Gonzalez Bernaldo de Quirós | 5 | 0 | 0.34 |