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http://dx.doi.org/10.5573/ieie.2015.52.1.162

Footstep Detection and Classification Algorithms based Seismic Sensor  

Kang, Youn Joung (Division of Ocean Systems Engineering, KAIST)
Lee, Jaeil (Dept. of Ocean System Engineering, Jeju Nat'l University)
Bea, Jinho (Dept. of Ocean System Engineering, Jeju Nat'l University)
Lee, Chong Hyun (Dept. of Ocean System Engineering, Jeju Nat'l University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.52, no.1, 2015 , pp. 162-172 More about this Journal
Abstract
In this paper, we propose an adaptive detection algorithm of footstep and a classification algorithm for activities of the detected footstep. The proposed algorithm can detect and classify whole movement as well as individual and irregular activities, since it does not use continuous footstep signals which are used by most previous research. For classifying movement, we use feature vectors obtained from frequency spectrum from FFT, CWT, AR model and image of AR spectrogram. With SVM classifier, we obtain classification accuracy of single footstep activities over 90% when feature vectors using AR spectrogram image are used.
Keywords
Single footstep; seismic sensor; adaptive footstep detection; footstep classification;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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