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http://dx.doi.org/10.6109/jkiice.2010.14.8.1901

Classification of walking patterns using acceleration signal  

Jo, Heung-Kuk (동서대학교 정보네트워크공학)
Ye, Soo-Young (동서대학교 메카트로닉스공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.14, no.8, 2010 , pp. 1901-1906 More about this Journal
Abstract
This classification of walking patterns is important and many kinds of applications. Therefore, we attempted to classify walking on level ground from slow walking to fast walking using a waist acceleration signal. A tri-axial accelerometer was fixed to the subject's waist and the three acceleration signals were recorded by bluetooth module at a sampling rate of 100 Hz eleven healthy. The data were analyzed using discrete wavelet transform. Walking patterns were classified using two parameters; One was the ratio between the power of wavelet coefficients which were corresponded to locomotion and total power in the anteroposterior direction (RPA). The other was the ratio between root mean square of wavelet coefficients at the anteroposterior direction and that at the vertical direction(RAV). Slow walking could be distinguished by the smallest value in RPA from other walking pattern. Fast walking could be discriminated from level walking using RAV. It was possible to classify the walking pattern using acceleration signal in healthy people.
Keywords
Acceleration signal; Classification; Walking patterns; Wavelet transform;
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