Contemporary online lessons that use web-conferencing systems suffer from several issues, mainly because
instructors engage in the same type of instruction as they do in conventional offline lessons. For example,
it might be difficult for learners to grasp three-dimensional movements. Teaching through a video displayed
on a screen is also limited, as opposed to teaching through physical bodies and showing movements in person.
In addition, it is difficult for the instructors to teach one person at a time during a lesson with many
students. This study proposes an online dance lesson support system that enables instructors to remotely but
effectively teach multiple learners. We initially focus on the framework of online dance lessons and
subsequently propose a lesson style that applies to flipped classrooms. We aim to provide a new lesson style
for on-demand lessons and real-time lessons using deep learning techniques.
Tsuchida, S., Shimizu, D., Shibasaki, K., Terada, T., Tsukamoto, M. (2022). Online Dance Lesson
Support System Using Flipped Classroom. In: Delir Haghighi, P., Khalil, I., Kotsis, G. (eds)
Advances in Mobile Computing and Multimedia Intelligence. MoMM 2022. Lecture Notes in Computer
Science, vol 13634. Springer, Cham. https://doi.org/10.1007/978-3-031-20436-4_13
