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).