| Budget Amount *help |
¥18,070,000 (Direct Cost: ¥13,900,000、Indirect Cost: ¥4,170,000)
Fiscal Year 2019: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2018: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2017: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2016: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2015: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
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| Outline of Final Research Achievements |
The purpose of this research was to extract the important features of motions by experts such as athletes, dancers, and craftsmen in order to utilize them for novices to learn how to move like experts. We had developed various methods for computation of kinematics motions features, selection of important motion features by applying machine learning, construction of statistical models of motion features and their relationships, visualization of spatial ranges of motions, visualization of the difference between the motion model and an input motion, and generation and deformation of motions of experts by several approaches such as deep learning, optimization, and motion interpolation. Based on these methods, we had developed a prototype of motion training for testis shot forms and evaluated the effectiveness of our system through a user study.
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