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Title: A new engineering approach to reveal correlation of physiological change and spontaneous expression from video images
Authors: Yang, Fenglei
Hu, Sijung
Ma, Xiaoyun
Hassan, Harnani
Wei, Dongqing
Keywords: Spontaneous expression
Region of interest (ROI)
Imaging photoplethysmography (iPPG)
Optophysiological modelling (OPM)
Artefact-reduction
Statistical association spaces
Issue Date: 2015
Publisher: © SPIE
Citation: 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.
Abstract: Spontaneous 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.
Description: This document is Closed Access.
Sponsor: 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).
Version: Published
DOI: 10.1117/12.2077120
URI: https://dspace.lboro.ac.uk/2134/20684
Publisher Link: http://dx.doi.org/10.1117/12.2077120
ISSN: 0277-786X
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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