Exploring microscopic fluctuation of facial expression for mood disorder classification

Ming Hsiang Su, Chung Hsien Wu, Kun Yi Huang, Qian Bei Hong, Hsin Min Wang

研究成果: Conference contribution

9 引文 斯高帕斯(Scopus)

摘要

In clinical diagnosis of mood disorder, depression is one of the most common psychiatric disorders. There are two major types of mood disorders: major depressive disorder (MDD) and bipolar disorder (BPD). A large portion of BPD are misdiagnosed as MDD in the diagnostic of mood disorders. Short-term detection which could be used in early detection and intervention is thus desirable. This study investigates microscopic facial expression changes for the subjects with MDD, BPD and control group (CG), when elicited by emotional video clips. This study uses eight basic orientations of motion vector (MV) to characterize the subtle changes in microscopic facial expression. Then, wavelet decomposition is applied to extract entropy and energy of different frequency bands. Next, an autoencoder neural network is adopted to extract the bottleneck features for dimensionality reduction. Finally, the long short term memory (LSTM) is employed for modeling the long-term variation among different mood disorders types. For evaluation of the proposed method, the elicited data from 36 subjects (12 for each of MDD, BPD and CG) were considered in the K-fold (K=12) cross validation experiments, and the performance for distinguishing among MDD, BPD and CG achieved 67.7% accuracy.

原文English
主出版物標題Proceedings of the 2017 International Conference on Orange Technologies, ICOT 2017
編輯Minghui Dong, Lei Wang, Yanfeng Lu, Haizhou Li
發行者Institute of Electrical and Electronics Engineers Inc.
頁面65-69
頁數5
ISBN(電子)9781538632758
DOIs
出版狀態Published - 2017 7月 2
事件5th International Conference on Orange Technologies, ICOT 2017 - Singapore, Singapore
持續時間: 2017 12月 82017 12月 10

出版系列

名字Proceedings of the 2017 International Conference on Orange Technologies, ICOT 2017
2018-January

Other

Other5th International Conference on Orange Technologies, ICOT 2017
國家/地區Singapore
城市Singapore
期間17-12-0817-12-10

All Science Journal Classification (ASJC) codes

  • 健康資訊學
  • 儀器
  • 電腦網路與通信
  • 電腦科學應用
  • 人機介面
  • 資訊系統
  • 健康(社會科學)

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