Fractal analysis of stride interval time series is a useful tool in human gait research which could be used as a marker for gait adaptability, gait disorder, and fall risk among patients with movement disorders.
Gait Recognition Using Fractal Scale and Wavelet Moments - IEEE Xplore
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Video-based gait recognition is a challenging problem in computer vision. In this paper, fractal scale wavelet analysis is applied to describe and ...
Mar 20, 2007 · Fractal scale, which is based on wavelet analysis, represents the self-similarity of signals, and improves the flexibility of wavelet moments.
In this paper, fractal scale wavelet analysis is applied to describe and automatically recognize gait.
Fractal scale wavelet analysis is applied to describe and automatically recognize gait, and by introducing the Mallat algorithm of wavelet, it reduces the ...
Fractal analysis of stride interval time series is a useful tool in human gait research which could be used as a marker for gait adaptability, gait disorder, ...
In this paper, fractal scale wavelet analysis is applied to describe and automatically recognize gait. Fractal scale, which is based on wavelet analysis, ...
On the fractal geometry of gait dynamics in different neuro ...
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The purpose of this study is to classify different neuro-degenerative diseases using fractal geometry.
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This paper applies fractal scale wavelet analysis to describe and automatically recognize gait, which represents the self-similarity of signals, ...
In this paper, we present a new combined fractal scale descriptor based on wavelet moments in gait recognition. This method is likely useful to general 2d ...