Human Activity Classification Based on Dynamic Time Warping of an On-Body Creeping Wave Signal

The characteristics of a nonline-of-sight on-body creeping wave are utilized to classify human motion activities. Creeping wave propagation around the torso of a nonmoving human is reviewed. Its associated complex transmission data are measured for six different motion activities on both male and fe...

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Bibliographic Details
Published inIEEE transactions on antennas and propagation Vol. 64; no. 11; pp. 4901 - 4905
Main Authors Yang Li, Dong Xue, Forrister, Erik, Lee, George, Garner, Brian, Youngwook Kim
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Antenna measurements
Antennas
Body area networks
Creeping wave
dynamic time warping (DTW) algorithm
Heuristic algorithms
human activity classification
Human activity recognition
on-body electromagnetic (EM) wave propagation
Pattern recognition
Propagation
Signal classification
Time measurement
Torso
Warping
Wave propagation
Wireless communication
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Summary:The characteristics of a nonline-of-sight on-body creeping wave are utilized to classify human motion activities. Creeping wave propagation around the torso of a nonmoving human is reviewed. Its associated complex transmission data are measured for six different motion activities on both male and female subjects. A dynamic time warping algorithm is applied on the signal magnitude and phase data for pattern recognition. The study is extended to different on-body channels and frequencies for comparisons.
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content type line 14
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2016.2598199