Authors:
Christian Wiede
;
Jingting Sun
;
Julia Richter
and
Gangolf Hirtz
Affiliation:
Chemnitz University of Technology, Germany
Keyword(s):
Remote Heart Rate Determination, rPPG, Vital Parameters, E-Rehabilitation.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Enterprise Information Systems
;
Features Extraction
;
Human and Computer Interaction
;
Human-Computer Interaction
;
Image and Video Analysis
;
Medical Image Applications
;
Motion, Tracking and Stereo Vision
;
Optical Flow and Motion Analyses
Abstract:
Due to an increasing demand for post-surgical rehabilitations, the need for e-rehabilitation is continuously
rising. At this point, a continuous monitoring of vital parameters, such as the heart rate, could improve the
efficiency assessment of training exercises by measuring a patient’s physical condition. This study proposes
a robust method to remotely determine a person’s heart rate with an RGB camera. In this approach, we used
an individual and situation depending skin colour determination in combination with an accurate tracking.
Furthermore, our method was evaluated by means of twelve different scenarios with 117 videos. Altogether,
the results show that this method performed accurately and robustly for e-rehabilitation applications.