Noncontact automatic heart rate analysis in visible spectrum by specific face regions

Authors:
Dragos Datcu;Marina Cidota;Stephan Lukosch;Leon Rothkrantz
Affiliations:
Delft University of Technology, Delft, The Netherlands;University of Bucharest, Bucharest, Romania;Delft University of Technology, Delft, The Netherlands;Netherlands Defence Academy, Den Helder, The Netherlands
Venue:
Proceedings of the 14th International Conference on Computer Systems and Technologies
Year:
2013

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Abstract

The current paper presents a comparative study on the influence of different face regions for contactless extraction of the heart rate by computer vision in visible spectrum. A second novelty of our research is the use of Active Appearance Models for computing the shape of the face and of the facial features. Following an experimental setup, we determine that forehead and cheek face regions are more relevant for computing the heart rate. This outcome leads to an optimized face scanning method, faster processing times and better pulse detection results. The findings were implemented in an automatic system prototype for noncontact face analysis. Our methods were tested and validated using video recordings of people in laboratory setup.