Abstract
In general, at the universities the lecturers use the grades to evaluate the students’ performance. However, the grades do not show the accumulated knowledge. Thus, the students can’t understand whether they have studied enough to understand all the topics of the lecture. Recently, with the advancement with as IoT technology and applications, we can record students’ study for every lecture using video images in all directions (360-degree). We can display high quality image for students. However, by recording many lectures, we will have big data. Therefore, we need to convert these data into short video and show to the students in order that students easily understand their study style. In this paper, we use 360-degrees cameras for searching the students’ location and judge their learning style.
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Yamamoto, N. (2020). Converting Big Video Data into Short Video: Using 360-Degree Cameras for Searching Students Location and Judging Students Learning Style. In: Barolli, L., Nishino, H., Enokido, T., Takizawa, M. (eds) Advances in Networked-based Information Systems. NBiS - 2019 2019. Advances in Intelligent Systems and Computing, vol 1036. Springer, Cham. https://doi.org/10.1007/978-3-030-29029-0_43
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DOI: https://doi.org/10.1007/978-3-030-29029-0_43
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