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Authors: Christian Wiede ; Julia Richter ; Manu Manuel and Gangolf Hirtz

Affiliation: Chemnitz University of Technology, Germany

Keyword(s): Remote Respiration Rate Determination, Vital Parameters, Optical Flow, Principal Component Analysis.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Medical Image Applications ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses

Abstract: Due to the steadily ageing society, the determination of vital parameters, such as the respiration rate, has come into focus of research in recent years. The respiration rate is an essential parameter to monitor a person’s health status. This study presents a robust method to remotely determine a person’s respiration rate with an RGB camera. In our approach, we detected four subregions on a person’s chest, tracked features over time with optical flow, applied a principal component analysis (PCA) and several frequency determination techniques. Furthermore, this method was evaluated in various recorded scenarios. Overall, the results show that this method is applicable in the field Ambient Assisted Living (AAL).

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Paper citation in several formats:
Wiede, C.; Richter, J.; Manuel, M. and Hirtz, G. (2017). Remote Respiration Rate Determination in Video Data - Vital Parameter Extraction based on Optical Flow and Principal Component Analysis. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP; ISBN 978-989-758-225-7; ISSN 2184-4321, SciTePress, pages 326-333. DOI: 10.5220/0006095003260333

@conference{visapp17,
author={Christian Wiede. and Julia Richter. and Manu Manuel. and Gangolf Hirtz.},
title={Remote Respiration Rate Determination in Video Data - Vital Parameter Extraction based on Optical Flow and Principal Component Analysis},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP},
year={2017},
pages={326-333},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006095003260333},
isbn={978-989-758-225-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP
TI - Remote Respiration Rate Determination in Video Data - Vital Parameter Extraction based on Optical Flow and Principal Component Analysis
SN - 978-989-758-225-7
IS - 2184-4321
AU - Wiede, C.
AU - Richter, J.
AU - Manuel, M.
AU - Hirtz, G.
PY - 2017
SP - 326
EP - 333
DO - 10.5220/0006095003260333
PB - SciTePress