Identifying individuals from gait pattern using waist-mounted accelerometer Online publication date: Thu, 16-Feb-2012
by Yuexiang Li; Xiaobo Wang; Feng Qiao
International Journal of Advanced Mechatronic Systems (IJAMECHS), Vol. 4, No. 1, 2012
Abstract: A novel algorithm to identify individuals via gait pattern by waist-mounted MEMS accelerometer is presented. Vertical acceleration signal is selected and represented as a seven-feature-tuple extracted from continuous wavelet transform. A multi-criterion model is designed to match the feature sequences using dynamic time wrapping algorithm. Experiments with a dataset of 24 subjects show that the equal error rate of the proposed algorithm has achieved 5% which is superior to that of 6.4% and 6.7% in the previous work.
Online publication date: Thu, 16-Feb-2012
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