This project focused on the traditional Japanese dance styles of Kagura and Minbu, aiming to clarify whether motion capture could be a valuable asset for dance practice. This project used Xsens MVN, a form of inertial sensor motion capture. As MVN can measure movement in the learner's usual practice space and easily show movements in CG form, it was thought to be well suited to the practice of Kagura and Minbu. Project subjects included one learner of Kagura and four learners of Minbu. First, the learners' dance was recorded using motion capture. Then they were shown the CG made from that data. The learners were asked to view the CG image of their own dancing and to reflect on it. They were then asked what they had noticed through viewing the image. After giving their opinion of the image, they were asked to practice while making use of the image. After the practice, their dance was once again recorded with motion capture. Finally, in order to confirm the data acquired pre- and post-practice, they confirmed whether they had been able to put to good use what they had noticed through the CG. Interviews with learners and teachers were also conducted, discussing their sense of the value of motion capture and CG to dance study. Copyright is held by the author / owner(s).