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Development of a Motion Learning Support System Arranging and Showing Several Coaches’ Motion Data
Author(s) -
Yoshinaga Toshihiro,
Masato Soga
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.08.235
Subject(s) - motion (physics) , computer science , artificial intelligence , computer vision , structure from motion , motion capture
Traditional motion learning support systems have a single piece of motion data as a model motion although the data is not always the best one for learners. There is also a fear that some learners regard the model motion as the absolute one. To solve this problem, we proposed a system showing various model motions to the learners. They can select one of the following model motion; arbitrary coach's motion, the coach's motion whose physique is the most similar to learner's one, the average motion of all coaches and the nearest motion to the average. On the system, learners are able to choose one from these four types as a model motion if the system has some coaches’ motion data. Through an evaluation experiment, we concluded that the system was helpful for motion learning

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