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

• Published in: IEEE 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
• Language: English
• 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
• ISSN: 0018-926X; 1558-2221
• DOI: 10.1109/TAP.2016.2598199

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...