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Detecting Happiness Using Hyperspectral Imaging Technology.

Min Hao1,2, Guangyuan Liu1,2, Anu Gokhale3

  • 1School of Electronic and Information Engineering, Southwest University, Chongqing, China.

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|February 16, 2019
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Hyperspectral imaging detects happiness by measuring facial tissue oxygen saturation (StO2). This study shows StO2 variations reliably indicate the emotion, offering a new physiological marker for happiness.

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Area of Science:

  • Physiological measurement
  • Emotion detection
  • Biomedical optics

Background:

  • Human emotions correlate with physiological changes.
  • Facial expressions are key indicators of emotional states.
  • Hyperspectral imaging (HSI) offers non-invasive tissue analysis.

Purpose of the Study:

  • To investigate HSI for detecting happiness via facial tissue oxygen saturation (StO2).
  • To quantify neuromotor tissue movements associated with happy expressions.
  • To establish StO2 as a reliable physiological indicator of happiness.

Main Methods:

  • Utilized HSI to remotely sense facial blood chromophores and calculate StO2.
  • Analyzed six facial regions (forehead, eye, nose, cheek, mouth, chin) using a facial action coding system.
  • Acquired StO2 data from 23 young adults expressing calm or happy emotions.
  • Employed repeated measures ANOVA to compare StO2 variations across facial regions.

Main Results:

  • Happiness significantly alters StO2 distribution across different facial regions.
  • Distinct patterns of StO2 variation were observed during happy expressions.
  • The study identified specific ROIs showing significant StO2 changes.

Conclusions:

  • Facial tissue oxygen saturation (StO2) is a valid and reliable physiological indicator of happiness.
  • HSI provides a novel method for objective emotion assessment.
  • Further research into StO2 as an emotional biomarker is warranted.