Step-Detection and Adaptive Step-Length Estimation for Pedestrian Dead-Reckoning at Various Walking Speeds Using a SmartphoneReportar como inadecuado


Step-Detection and Adaptive Step-Length Estimation for Pedestrian Dead-Reckoning at Various Walking Speeds Using a Smartphone


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School of Electrical Engineering, Kookmin University, 861-1 Jeongnung-dong, Seongbuk-gu, Seoul 136-702, Korea





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Academic Editor: Angelo Maria Sabatini

Abstract We propose a walking distance estimation method based on an adaptive step-length estimator at various walking speeds using a smartphone. First, we apply a fast Fourier transform FFT-based smoother on the acceleration data collected by the smartphone to remove the interference signals. Then, we analyze these data using a set of step-detection rules in order to detect walking steps. Using an adaptive estimator, which is based on a model of average step speed, we accurately obtain the walking step length. To evaluate the accuracy of the proposed method, we examine the distance estimation for four different distances and three speed levels. The experimental results show that the proposed method significantly outperforms conventional estimation methods in terms of accuracy. View Full-Text

Keywords: Weinberg method; PDR; step length; step-detection; FFT filter Weinberg method; PDR; step length; step-detection; FFT filter





Autor: Ngoc-Huynh Ho, Phuc Huu Truong and Gu-Min Jeong *

Fuente: http://mdpi.com/



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