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A new engineering approach to reveal correlation of physiological change and spontaneous expression from video images
conference contribution
posted on 2016-03-23, 09:50 authored by Fenglei Yang, Sijung HuSijung Hu, Xiaoyun Ma, Harnani Hassan, Dongqing WeiSpontaneous expression is associated with physiological states, i.e., heart rate, respiration, oxygen saturation (SpO2%), and heart rate variability (HRV). There have yet not sufficient efforts to explore correlation of physiological change and spontaneous expression. This study aims to study how spontaneous expression is associated with physiological changes with an approved protocol or through the videos provided from Denver Intensity of Spontaneous Facial Action Database. Not like a posed expression, motion artefact in spontaneous expression is one of evitable challenges to be overcome in the study. To obtain a physiological signs from a region of interest (ROI), a new engineering approach is being developed with an artefact-reduction method consolidated 3D active appearance model (AAM) based track, affine transformation based alignment with opto-physiological mode based imaging photoplethysmography. Also, a statistical association spaces is being used to interpret correlation of spontaneous expressions and physiological states including their probability densities by means of Gaussian Mixture Model. The present work is revealing a new avenue of study associations of spontaneous expressions and physiological states with its prospect of applications on physiological and psychological assessment.
Funding
The authors are grateful to all the members from Shanghai University, Loughborough University and Shanghai Jiaotong University for their enthusiastic support. Also, the authors would like to thank the financial support of NSFC (Grants No. 61371149).
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
Progress in Biomedical Optics and Imaging - Proceedings of SPIEVolume
9315Citation
YANG, F. ... et al., 2015. A new engineering approach to reveal correlation of physiological change and spontaneous expression from video images. Proceedings of SPIE, 9315, DOI: 10.1117/12.2077120.Publisher
© SPIEVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2015Notes
This document is Closed Access.ISSN
0277-786XeISSN
1996-756XPublisher version
Language
- en