Issue No. 01 - January-March (2011 vol. 2)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/T-AFFC.2011.3
Sophie Jarlier , University of Geneva, Geneva
Didier Grandjean , University of Geneva, Geneva
Sylvain Delplanque , University of Geneva, Geneva
Karim N'Diaye , Cogimage CRICM-UPMC/INSERM UMR-S975/CNRS UMR7225, Paris
Isabelle Cayeux , Firmenich SA, Geneva
Maria Inés Velazco , Firmenich SA, Geneva
David Sander , University of Geneva, Geneva
Patrik Vuilleumier , University Medical Center (CMU), Geneva
Klaus R. Scherer , University of Geneva, Geneva
Facial expressions can be systematically coded using the Facial Action Coding System (FACS) that describes the specific action unit (AU) or combination of AUs elicited during different kinds of expressions. This study investigated the thermal patterns concomitant to specific action units performance. As thermal imaging can track dynamic patterns in facial temperature at any distance (>0.4 m), with high temporal (<20 m) and thermal (<20 mK@300 K) resolutions, this noninvasive technique was tested as a method to assess fluctuations of facial heat patterns induced by facial muscles contractions. Four FACS-trained coders produced nine different AUs or combination of AUs at various speeds and intensities. Using a spatial pattern approach based on PCA decomposition of the thermal signal, we showed that thermal fluctuations are specific to the activated AUs and are sensitive to the kinetics and intensities of AU production. These results open new avenues for studying patterns of facial muscle activity related to emotion or other cognitively induced activities, in a noninvasive manner, avoiding potential lighting issues.
Facial expression, FACS, muscle contraction, thermography.
D. Sander et al., "Thermal Analysis of Facial Muscles Contractions," in IEEE Transactions on Affective Computing, vol. 2, no. , pp. 2-9, 2011.