Data collection of elicited facial expressions and speech responses for mood disorder detection

Kun Yi Huang, Chung Hsien Wu, Yu Ting Kuo, Hsiao Hsuan Yen, Fong Lin Jang, Yu Hsien Chiu

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

3 Citations (Scopus)

Abstract

Mood disorders include unipolar disorder (UD) and bipolar disorder (BD). In this work, database collection of facial expressions and speech responses based on eliciting emotional videos for mood disorder detection is proposed. First, the chi-squared test was used to evaluate the agreement among manual selection of eliciting emotional videos from 11 candidate emotion videos. Six eliciting emotional videos were selected and then applied to elicit speech responses and facial expressions of the patients. In this paper, the collection procedure of the elicited data is described and the statistics of the database is provided. The collected mood database can be used in mood disorder detection and studies on emotions from elicitation.

Original languageEnglish
Title of host publicationProceedings of 2015 International Conference on Orange Technologies, ICOT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages42-45
Number of pages4
ISBN (Electronic)9781467382373
DOIs
Publication statusPublished - 2016 Jun 22
Event3rd International Conference on Orange Technologies, ICOT 2015 - Hong Kong, Hong Kong
Duration: 2015 Dec 192015 Dec 22

Publication series

NameProceedings of 2015 International Conference on Orange Technologies, ICOT 2015

Other

Other3rd International Conference on Orange Technologies, ICOT 2015
CountryHong Kong
CityHong Kong
Period15-12-1915-12-22

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Social Psychology
  • Artificial Intelligence
  • Computer Networks and Communications

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  • Cite this

    Huang, K. Y., Wu, C. H., Kuo, Y. T., Yen, H. H., Jang, F. L., & Chiu, Y. H. (2016). Data collection of elicited facial expressions and speech responses for mood disorder detection. In Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015 (pp. 42-45). [7498502] (Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOT.2015.7498502