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
Volume2018-January
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

Other

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

Fingerprint

Mood Disorders
Bipolar Disorder
Modulation
Depressive Disorder
Support vector machines
Facial Expression
Diagnostic Errors
Surgical Instruments
Early Diagnosis
Experiments
Databases
Action Spectrum
Therapeutics

All Science Journal Classification (ASJC) codes

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

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 (Vol. 2018-January, pp. 5-8). [8278966] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOT.2016.8278966
Yang, Tsung Hsien ; Wu, Chung-Hsien ; Su, Ming Hsiang ; Chang, Chia Cheng. / Detection of mood disorder using modulation spectrum of facial action unit profiles. 2016 International Conference on Orange Technologies, ICOT 2016. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 5-8
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Yang, TH, Wu, C-H, Su, MH & Chang, CC 2018, Detection of mood disorder using modulation spectrum of facial action unit profiles. in 2016 International Conference on Orange Technologies, ICOT 2016. vol. 2018-January, 8278966, Institute of Electrical and Electronics Engineers Inc., pp. 5-8, 2016 International Conference on Orange Technologies, ICOT 2016, Melbourne, Australia, 16-12-18. https://doi.org/10.1109/ICOT.2016.8278966

Detection of mood disorder using modulation spectrum of facial action unit profiles. / Yang, Tsung Hsien; Wu, Chung-Hsien; Su, Ming Hsiang; Chang, Chia Cheng.

2016 International Conference on Orange Technologies, ICOT 2016. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 5-8 8278966.

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

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Yang TH, Wu C-H, Su MH, Chang CC. Detection of mood disorder using modulation spectrum of facial action unit profiles. In 2016 International Conference on Orange Technologies, ICOT 2016. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 5-8. 8278966 https://doi.org/10.1109/ICOT.2016.8278966