Jump to ContentJump to Main Navigation
Show Summary Details
Weitere Optionen …

Current Directions in Biomedical Engineering

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering

Editor-in-Chief: Dössel, Olaf

Wissenschaftlicher Beirat: Augat, Peter / Buzug, Thorsten M. / Haueisen, Jens / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Kraft, Marc / Lenarz, Thomas / Leonhardt, Steffen / Malberg, Hagen / Penzel, Thomas / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Urban, Gerald A.

CiteScore 2018: 0.47

Source Normalized Impact per Paper (SNIP) 2018: 0.377

Open Access
Alle Formate und Preise
Weitere Optionen …

Heart rate from face videos under realistic conditions for advanced driver monitoring

Christian S. Pilz / Sebastian Zaunseder / Ulrich Canzler / Jarek Krajewski
  • Bergische Universität Wuppertal, Institut für Sicherheitstechnik HF - Arbeitsbereich Human Factors & Diagnostik, Gaußstraße 20 42119 Wuppertal, Germany
  • E-Mail
  • Weitere Artikel des Autors:
  • De Gruyter OnlineGoogle Scholar
Online erschienen: 07.09.2017 | DOI: https://doi.org/10.1515/cdbme-2017-0102


The role of physiological signals has a large impact on driver monitoring systems, since it tells something about the human state. This work addresses the recursive probabilistic inference problem in time-varying linear dynamic systems to incorporate invariance into the task of heart rate estimation from face videos under realistic conditions. The invariance encapsulates motion as well as varying illumination conditions in order to accurately estimate vitality parameters from human faces using conventional camera technology. The solution is based on the canonical state space representation of an Itô process and a Wiener velocity model. Empirical results yield to excellent real-time and estimation performance of heart rates in presence of disturbing factors, like rigid head motion, talking, facial expressions and natural illumination conditions making the process of human state estimation from face videos applicable in a much broader sense, pushing the technology towards advanced driver monitoring systems.

Keywords: Photoplethysmography Imaging; Diffusion Process; SDE; Invariance; Psychophysiology; Human State Computing


Online erschienen: 07.09.2017

Quellenangabe: Current Directions in Biomedical Engineering, Band 3, Heft 2, Seiten 483–487, ISSN (Online) 2364-5504, DOI: https://doi.org/10.1515/cdbme-2017-0102.

Zitat exportieren

©2017 Christian S. Pilz et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

Kommentare (0)