Noncontact Extraction of Breathing Waveform

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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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  -