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Article

Enhanced Contactless Vital Sign Estimation from Real-Time Multimodal 3D Image Data

1
Group for Quality Assurance and Industrial Image Processing, Department of Mechanical Engineering, Technische Universität Ilmenau, D-98693 Ilmenau, Germany
2
Fraunhofer Institute for Applied Optics and Precision Engineering, D-07745 Jena, Germany
*
Author to whom correspondence should be addressed.
J. Imaging 2020, 6(11), 123; https://doi.org/10.3390/jimaging6110123
Received: 21 October 2020 / Revised: 6 November 2020 / Accepted: 9 November 2020 / Published: 12 November 2020
(This article belongs to the Special Issue 3D and Multimodal Image Acquisition Methods)
The contactless estimation of vital signs using conventional color cameras and ambient light can be affected by motion artifacts and changes in ambient light. On both these problems, a multimodal 3D imaging system with an irritation-free controlled illumination was developed in this work. In this system, real-time 3D imaging was combined with multispectral and thermal imaging. Based on 3D image data, an efficient method was developed for the compensation of head motions, and novel approaches based on the use of 3D regions of interest were proposed for the estimation of various vital signs from multispectral and thermal video data. The developed imaging system and algorithms were demonstrated with test subjects, delivering a proof-of-concept. View Full-Text
Keywords: contactless vital sign estimation; multimodal imaging; multispectral imaging; structured light contactless vital sign estimation; multimodal imaging; multispectral imaging; structured light
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MDPI and ACS Style

Zhang, C.; Gebhart, I.; Kühmstedt, P.; Rosenberger, M.; Notni, G. Enhanced Contactless Vital Sign Estimation from Real-Time Multimodal 3D Image Data. J. Imaging 2020, 6, 123. https://doi.org/10.3390/jimaging6110123

AMA Style

Zhang C, Gebhart I, Kühmstedt P, Rosenberger M, Notni G. Enhanced Contactless Vital Sign Estimation from Real-Time Multimodal 3D Image Data. Journal of Imaging. 2020; 6(11):123. https://doi.org/10.3390/jimaging6110123

Chicago/Turabian Style

Zhang, Chen, Ingo Gebhart, Peter Kühmstedt, Maik Rosenberger, and Gunther Notni. 2020. "Enhanced Contactless Vital Sign Estimation from Real-Time Multimodal 3D Image Data" Journal of Imaging 6, no. 11: 123. https://doi.org/10.3390/jimaging6110123

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