
Proceedings Paper
A new engineering approach to reveal correlation of physiological change and spontaneous expression from video imagesFormat | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 5 March 2015
PDF: 9 pages
Proc. SPIE 9315, Design and Quality for Biomedical Technologies VIII, 93150M (5 March 2015); doi: 10.1117/12.2077120
Published in SPIE Proceedings Vol. 9315:
Design and Quality for Biomedical Technologies VIII
Ramesh Raghavachari; Rongguang Liang, Editor(s)
PDF: 9 pages
Proc. SPIE 9315, Design and Quality for Biomedical Technologies VIII, 93150M (5 March 2015); doi: 10.1117/12.2077120
Show Author Affiliations
Fenglei Yang, Shanghai Univ. (China)
Sijung Hu, Loughborough Univ. (United Kingdom)
Xiaoyun Ma, Shanghai Univ. (China)
Sijung Hu, Loughborough Univ. (United Kingdom)
Xiaoyun Ma, Shanghai Univ. (China)
Published in SPIE Proceedings Vol. 9315:
Design and Quality for Biomedical Technologies VIII
Ramesh Raghavachari; Rongguang Liang, Editor(s)
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