Exact(1)
Accurate estimation of step kinematic variability required at least 400 steps.
Similar(59)
Previous studies show that the essential spatiotemporal characteristics of overground walking can be obtained by trunk accelerometry; individual step or stride cycles can be identified, and fair estimations of step length and walking speed can be obtained using a single triaxial accelerometer [ 22].
A potential confounding factor affecting the self-estimation of step-over ability may be fear of falling.
The accuracy (i.e., overestimation and underestimation) of self-estimation of step-over ability in the SOT was evaluated in terms of the difference between self-estimated maximum height (EH) and actually performed maximum height (AH).
The difference between EH and AH (Δ height) was then calculated to determine the accuracy, or bias error (i.e., underestimation or overestimation), of self-estimation of step-over ability.
The estimation of the step locations using equation (3) and algorithms in [6] gives an estimate of the duration of the periods of constant extension.
We discuss adaptive blind estimation of optimal step-sizes in the presence of phase noise and frequency-offset.
In the following experiments, each step is run with the perfect estimation of the previous step, in order to study separately the impact of the sparsification on each part of the source separation.
Thus, the time-frequency activation mask of each source signal s k has to be known before the estimation of sinusoidal parameter step (which is often preceded by a peak detection step in the magnitude spectrum).
An expression for the estimation of the acceleration step size in AALR method is derived.
This can be explained by the fact that the introduced noise causes the errors in the estimation of the quantization step size for NDM.
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