Detection of mood disorder using modulation spectrum of facial action unit profiles

Tsung Hsien Yang, Chung Hsien Wu, Ming Hsiang Su, Chia Cheng Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In mood disorder diagnosis, bipolar disorder (BD) patients are often misdiagnosed as unipolar depression (UD) on initial presentation. It is crucial to establish an accurate distinction between BD and UD to make an accurate and early diagnosis, leading to improvements in treatment. In this work, facial expressions of the subjects are collected when they were watching the eliciting emotional video clips. In mood disorder detection, first, facial features extracted from the DISFA database are used to train a support vector machine (SVM) for generating facial action unit (AU) profiles. The modulation spectrum characterizing the fluctuation of AU profile sequence over a video segment are further extracted and then used for mood disorder detection using an ANN model. Comparative experiments clearly show the promising advantage of the modulation spectrum features for mood disorder detection.

Original languageEnglish
Title of host publication2016 International Conference on Orange Technologies, ICOT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5-8
Number of pages4
ISBN (Electronic)9781538648315
DOIs
Publication statusPublished - 2018 Feb 1
Event2016 International Conference on Orange Technologies, ICOT 2016 - Melbourne, Australia
Duration: 2016 Dec 182016 Dec 20

Publication series

Name2016 International Conference on Orange Technologies, ICOT 2016
Volume2018-January

Other

Other2016 International Conference on Orange Technologies, ICOT 2016
CountryAustralia
CityMelbourne
Period16-12-1816-12-20

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Behavioral Neuroscience
  • Cognitive Neuroscience

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  • Cite this

    Yang, T. H., Wu, C. H., Su, M. H., & Chang, C. C. (2018). Detection of mood disorder using modulation spectrum of facial action unit profiles. In 2016 International Conference on Orange Technologies, ICOT 2016 (pp. 5-8). [8278966] (2016 International Conference on Orange Technologies, ICOT 2016; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOT.2016.8278966