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Conventional student response systems require electronic devices for collecting personal responses, such as, wireless RF remote keypads, portable handhelds, PDAs, tablets, and cell phones. Although these devices are becoming inexpensive and popular, their management causes additional burdens for teachers and students. We propose a method of collecting student responses by means of printed fiducial markers and tracking technology based on computer vision. Students can submit a response by holding up their marker sheets. Teachers can continuously track and record the responses using personal IDs in real time. Multiple choice question and 2D positioning implementations are presented.

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  1. Manabu Ito, Motoki Miura: Handiness of device-free response analyzer systems in classroom, Proceedings of 21th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2017), Marceille, France, pp. 1829-1834, September 2017. (info)
  2. Manabu Ito, Motoki Miura: Portable Vision-based Response Analyzer with Sheet Bending Recognition, Proceedings of GCCE 2015, Osaka, Japan, pp. 143-144, October 2015. (pdf)
  3. Motoki Miura, Tei Sui: A Simple Sheet Bending Recognition for Augmenting a Two-dimensional Marker-based Response Analyzer, 2015 International Conference on Informatics, Electronics & Vision (ICIEV), Kitakyushu, Fukuoka, pp. 1-4, June 2015. (pdf)
  4. Motoki Miura, Toyohisa Nakada: Device-Free Personal Response System based on Fiducial Markers, 2012 Seventh IEEE International Conference on Wireless, Mobile, and Ubiquitous Technology in Education, Takamatsu, Kagawa, pp. 87-91, March 2012. (pdf)