Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference

Noncontact Extraction of Breathing Waveform

Authors
Yuzhe Zhang, Fei Shang
Corresponding Author
Yuzhe Zhang
Available Online May 2015.
DOI
10.2991/ipemec-15.2015.145How to use a DOI?
Keywords
Breathing Waveform; Eulerian Motion Magnification; Principal Component Analysis; Video-based
Abstract

This paper presents a video-based method to extract breathing waveform from the upper body movement associated with breathing, which is based on Eulerian Motion Magnification and principal component analysis (PCA). Using our method, we are able to obtain the breathing waveform which contains different breathing pattern (normal breath, hold breath, quick breath, deep breath) exactly and rapidly from video without tracking the motion of body. Our method can also be used to extract the vibration pattern of other objects.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference
Series
Advances in Engineering Research
Publication Date
May 2015
ISBN
10.2991/ipemec-15.2015.145
ISSN
2352-5401
DOI
10.2991/ipemec-15.2015.145How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yuzhe Zhang
AU  - Fei Shang
PY  - 2015/05
DA  - 2015/05
TI  - Noncontact Extraction of Breathing Waveform
BT  - Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference
PB  - Atlantis Press
SP  - 782
EP  - 787
SN  - 2352-5401
UR  - https://doi.org/10.2991/ipemec-15.2015.145
DO  - 10.2991/ipemec-15.2015.145
ID  - Zhang2015/05
ER  -