Remote Respiration Rate Determination in Video Data - Vital Parameter Extraction based on Optical Flow and Principal Component Analysis

Christian Wiede, Julia Richter, Manu Manuel, Gangolf Hirtz

2017

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).

Paper Citation

in Harvard Style

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 - Volume 4: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-225-7, pages 326-333. DOI: 10.5220/0006095003260333

in Bibtex Style

@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 - Volume 4: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={326-333},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006095003260333},
isbn={978-989-758-225-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)
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
AU - Wiede C.
AU - Richter J.
AU - Manuel M.
AU - Hirtz G.
PY - 2017
SP - 326
EP - 333
DO - 10.5220/0006095003260333