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neural network topology and to learn the weights
simultaneously, outperforms the traditional
classifiers (82.5 % accuracy).
From a clinical perspective, this article illustrates
that in a general population of elderly, fall risk is
related to different underlying constructs, with clear
manifestations among different dimensions in the
gait pattern as captured by the accelerometer.
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