Name
Title | ||
|---|---|---|
Evaluation of Stationary Colour AR Markers for Camera-based Student Response Analyser. |
Abstract | ||
|---|---|---|
Camera-based response analysers are classroom enhancement tools like clicker tools that teachers can use to collect students' answers. A camera-based response analyser can reduce the cost of such student devices because it recognises AR marker sheets to collect students' responses. However, conventional camera-based response analysers are sensitive to occlusion. In addition, holding markers while capturing is troublesome. To mitigate these issues, we have developed a response analyser system that employs recognition of random dot (RD) and stationary markers. We have improved the performance of the system to recognise the RD markers using a typical background colour. We confirmed the basic performance of the modified response analyser system and the proposed stationary markers experimentally. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.procs.2016.08.269 | KES |
Keywords | Field | DocType |
Active learning,Interactive | Analyser,Computer vision,Active learning,Computer science,Artificial intelligence,Clicker | Conference |
Volume | Issue | ISSN |
96 | C | 1877-0509 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manabu Ito | 1 | 15 | 4.06 |
| Motoki Miura | 2 | 87 | 21.85 |