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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Published in | IEEE transactions on antennas and propagation Vol. 64; no. 11; pp. 4901 - 4905 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.11.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 0018-926X 1558-2221 |
DOI | 10.1109/TAP.2016.2598199 |
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Abstract | 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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AbstractList | 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. |
Author | Forrister, Erik Dong Xue Garner, Brian Yang Li Lee, George Youngwook Kim |
Author_xml | – sequence: 1 surname: Yang Li fullname: Yang Li email: yang_li1@baylor.edu organization: Sch. of Eng. & Comput. Sci., Baylor Univ., Waco, TX, USA – sequence: 2 surname: Dong Xue fullname: Dong Xue organization: Sch. of Eng. & Comput. Sci., Baylor Univ., Waco, TX, USA – sequence: 3 givenname: Erik surname: Forrister fullname: Forrister, Erik organization: Sch. of Eng. & Comput. Sci., Baylor Univ., Waco, TX, USA – sequence: 4 givenname: George surname: Lee fullname: Lee, George organization: Sch. of Eng. & Comput. Sci., Baylor Univ., Waco, TX, USA – sequence: 5 givenname: Brian surname: Garner fullname: Garner, Brian organization: Sch. of Eng. & Comput. Sci., Baylor Univ., Waco, TX, USA – sequence: 6 surname: Youngwook Kim fullname: Youngwook Kim email: youngkim@csufresno.edu organization: Dept. of Electr. & Comput. Eng., California State Univ., Fresno, CA, USA |
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Snippet | 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... |
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SubjectTerms | 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 |
Title | Human Activity Classification Based on Dynamic Time Warping of an On-Body Creeping Wave Signal |
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