Abstract
Many researchers studied on gait parameters, such as step width and speed, correlated with gait stability indices. In contrast, to understand stable gait motions against fall, we computed the time-series of joint angles that are correlated with a popular kinetic gait stability index: margin of stability (MoS). A time-series extension of the partial least square regression was applied on the joint angles to construct the principal motions, i.e., motion elements included in gait motions. These principal motions were linearly independent of each other and correlated with MoS. The linear combination of three principal motions produced a quantity that was correlated with the minimal MoS values having a coefficient of 0.87. Interpretation of the obtained principal motions suggests that the stable gait is of the small takeoff and step lengths.
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