| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2018: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Outline of Final Research Achievements |
This project aims at finding out notable features of body motions in order to teach a skill of a sport, a dance, or a medical procedure. Motion data of the body acquired with a motion capture manufactured building is a tremendous amount to each joint of the whole body. Therefore, coding methods that reducing unwanted data while keeping the potential features are desired. The author examined joints contributing to a characteristic posture such as foot plant and top position in pitching motion in baseball. The author also proposed a method to find the difference between novices and experts by machine learning in a medical operation.
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