Abstract
Recently, several AR systems have been developed and used in various fields. However, in most AR systems, there are some restrictions caused by the usage of AR marker or location information. In this research, in order to solve these problems, AR information system that can recognize object itself based on deep learning was developed. In particular, this system was constructed using client-server model so that the machine learning can be updated while operating the system. In addition, the method of gamification was introduced to gather the learning data automatically from the users when they use the system. The prototype was applied to the AR zoo information system and the effectiveness of the proposed system was validated in the evaluation experiment.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes on Data Engineering and Communications Technologies |
| Publisher | Springer |
| Pages | 485-493 |
| ISBN (Electronic) | 978-3-319-98530-5 |
| ISBN (Print) | 978-3-319-98529-9 |
| DOIs | |
| Publication status | Published - 2018 |
| Event | International Conference on Network-Based Information Systems (NBiS 2018): Advances in Network-Based Information Systems - Bratislava, Slovakia Duration: 5 Sept 2018 → 7 Sept 2018 Conference number: 21 |
Publication series
| Name | Lecture Notes on Data Engineering and Communications Technologies |
|---|---|
| Publisher | Springer |
| Volume | 22 |
Conference
| Conference | International Conference on Network-Based Information Systems (NBiS 2018) |
|---|---|
| Abbreviated title | NBiS 2018 |
| Country/Territory | Slovakia |
| City | Bratislava |
| Period | 5/09/18 → 7/09/18 |