@inproceedings{10483c69d39b4721805f65d033c43465,
title = "On the use of the quaternion generalized Gaussian distribution for footstep detection",
abstract = "We propose a method to detect human footsteps from a vector-quaternion signal acquired by a tri-axial geophone. The quaternion generalized Gaussian distribution (QGGD) is derived to parameterize variations in the vector-quaternion signal using a shape parameter, quantifying non-Gaussianity and quaternion augmented covariance matrix, quantifying inter-channel correlation. The detection of footsteps is then formulated as binary hypotheses tests in terms of the parameters of the QGGD. The effectiveness of the proposed metrics is evaluated on recorded seismic data.",
keywords = "footstep detection, quaternion, vector-sensor",
author = "Divya Venkatraman and Reddy, {Vinod V.} and Khong, {Andy W.H.}",
year = "2013",
month = oct,
day = "18",
doi = "10.1109/ICASSP.2013.6638922",
language = "English",
isbn = "9781479903566",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "6521--6525",
booktitle = "2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings",
note = "2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 ; Conference date: 26-05-2013 Through 31-05-2013",
}