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Methods Inf Med 2000; 39(02): 183-185
DOI: 10.1055/s-0038-1634267
Original Article
Schattauer GmbH

Analysis of Acceleration Signals using Wavelet Transform

M. Sekine
1   Tokyo Denki University, Hiki, Saitama, Japan
,
T. Tamura
2   National Institute for Longevity Sciences, Ohbu Aichi Japan
,
M. Akay
3   Dartmouth College, Hanover, NH USA
,
T. Togawa
4   Tokyo Medical and Dental University, Japan, Chiyoda, Tokyo, Japan
,
Y. Fukui
1   Tokyo Denki University, Hiki, Saitama, Japan
› Author Affiliations
Further Information

Publication History

Publication Date:
07 February 2018 (online)

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Abstract:

In this study, we attempted to discriminate the acceleration signal for horizontal level and stairway walking using wavelet-based fractal analysis method. The acceleration signal was measured close to the center of gravity of the body, while the subjects walked continuously in the corridor and up and down the stairs. We used the wavelet-based fractal analysis method to discriminate walking pattern. The parameter H which is related directly to the fractal dimension was estimated by the wavelet coefficient and was changed into low value during walking upstairs. By manually setting the threshold level for individual, it was possible to discriminate walking upstairs from the other walking type. However, the common feature among subjects was not shown between level walking and walking downstairs.

Keywords:

Gait - Acceleration - Wavelet Transform - Fractal Dimension
 

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