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Evaluation of Stationary Colour AR Markers for Camera-based Student Response Analyser
Author(s) -
Manabu Ito,
Motoki Miura
Publication year - 2016
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2016.08.269
Subject(s) - analyser , computer science , clicker , artificial intelligence , response time , photography , computer vision , computer graphics (images) , optics , physics , operating system , art , visual arts
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

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