A system that is able to measure motions is necessary for preserving the skills of experts. A previously reported study proposed a system that precisely measures and reproduces motions. However, this type of system must physically interact with the subject whose motions are measured. Such interaction can be troublesome when the measured motions require precise control of force or position or even a high degree of freedom. Therefore, this study proposes a novel method for sensing motions without interference and applies the approach to measure the skill of playing a violin. Using the data measured by the proposed system, the skills of an experienced violin player and a novice violin player are compared. This study attempts to visualize the differences between the two types of players by applying wavelet transform on the measured data and analyzing them in the frequency domain.
Robots are increasingly used for substituting various tasks that were previously performed by humans. However, certain tasks can only be accomplished by humans. To substitute such tasks, robots should be able to reproduce the motion of humans. There are two steps to achieving this goal. First, human motion needs to be measured properly using sensors. Second, the robots need to be properly controlled to reproduce the motion. In particular, the present study focuses on the second step and proposes a method for controlling a robot to reproduce a certain motion.There are several problems when reproducing a motion. One major problem is the phase delay, which is inevitable when controlling the position of a robot. In previous studies, master-replica systems were utilized to cope with the phase delay. However, using master-replica systems makes it difficult for the operator to perform tasks. Therefore, this paper proposes a control method for robots to precisely reproduce human motion without using the master-replica system.
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