In this research, we design a system to detect the writing behavior of teachers on a chalkboard. The developed system uses a smart chalk holder with a three-axis accelerometer (AccelChalk) and is used in actual lectures for evaluation. A technique for determining the physical state of learners by using behavior identification has been developed earlier. It has been suggested that this technology could be used to estimate the state of learners in a classroom. We believe that it can also be applied to detect writing behavior on a chalkboard. From an experiment with teachers, the overall recognition rate exceeded 80% in the detection of writing behavior on chalkboard in actual lectures. The teachers suggested that the proposed system was useful for reviewing their lectures. In future work, it will be necessary to make the shape of the AccelChalk more sophisticated.
CITATION STYLE
Okazawa, T., & Egi, H. (2017). Accelchalk: Detecting writing actions with chalk acceleration for collaboration between teachers and students. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10397 LNCS, pp. 99–106). Springer Verlag. https://doi.org/10.1007/978-3-319-63088-5_9
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