Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : May 27, 2020 - May 30, 2020
We proposed a gait variability index invariant with gait speed based on generalized principal motion analysis (GPMA). GPMA finds base functions, which are called principal motions, that maximally separate distinctive types of motions and that weaken the effects of gait speed within individuals. We computed principal motion ellipsoids based on principal motion analysis (PMA) and GPMA, and compared how distributed the samples between gait speed conditions. As a result, principal motion ellipsoids based on GPMA is invariant with gait speed. However, the principal motions obtained by GPMA can be difficult to interpret what the motions represent and we cannot understand how the walking motions vary. Therefore, when we can interpret the meanings of the principal motions, the principal motion ellipsoid can be more useful index.
