Research > Analysis for human motions based on musclar coordination
Analysis for human motions based on musclar coordination
In neuroscience, the problem of what the motor primitive is remains
since olden days, and the study of decomposing a movement into some
units of motor function is evolving. However, its applications to
robotics is not deeply investigated yet.
In our study, based on these knowledge acquired in neuroscience, we
extract the patterns of agonist-antagonist muscle pairs' coordination by
measuring the electromyographic (EMG) activities to solve
multi-degree-of-freedom problem in human motion. And we attempt to
propose a new method of controlling a human-like musculoskeletal robot
by transferring these extracted patterns of muscle coordination.