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

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

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題2016 International Conference on Orange Technologies, ICOT 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面5-8
頁數4
ISBN(電子)9781538648315
DOIs
出版狀態Published - 2018 二月 1
事件2016 International Conference on Orange Technologies, ICOT 2016 - Melbourne, Australia
持續時間: 2016 十二月 182016 十二月 20

出版系列

名字2016 International Conference on Orange Technologies, ICOT 2016
2018-January

Other

Other2016 International Conference on Orange Technologies, ICOT 2016
國家/地區Australia
城市Melbourne
期間16-12-1816-12-20

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 電腦視覺和模式識別
  • 行為神經科學
  • 認知神經科學

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