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

doi:10.1109/ICOT.2015.7498502

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

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	42-45
Number of pages	4
ISBN (Electronic)	9781467382373
DOIs	https://doi.org/10.1109/ICOT.2015.7498502
Publication status	Published - 2016 Jun 22
Event	3rd International Conference on Orange Technologies, ICOT 2015 - Hong Kong, Hong Kong Duration: 2015 Dec 19 → 2015 Dec 22

Publication series

Name	Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015

Other

Other	3rd International Conference on Orange Technologies, ICOT 2015
Country	Hong Kong
City	Hong Kong
Period	15-12-19 → 15-12-22

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1109/ICOT.2015.7498502

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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

Huang, Kun Yi ; Wu, Chung Hsien ; Kuo, Yu Ting ; Yen, Hsiao Hsuan ; Jang, Fong Lin ; Chiu, Yu Hsien. / Data collection of elicited facial expressions and speech responses for mood disorder detection. Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 42-45 (Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015).

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title = "Data collection of elicited facial expressions and speech responses for mood disorder detection",

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.",

author = "Huang, {Kun Yi} and Wu, {Chung Hsien} and Kuo, {Yu Ting} and Yen, {Hsiao Hsuan} and Jang, {Fong Lin} and Chiu, {Yu Hsien}",

year = "2016",

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language = "English",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "42--45",

booktitle = "Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015",

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note = "3rd International Conference on Orange Technologies, ICOT 2015 ; Conference date: 19-12-2015 Through 22-12-2015",

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Huang, KY, Wu, CH, Kuo, YT, Yen, HH, Jang, FL & Chiu, YH 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., 7498502, Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015, Institute of Electrical and Electronics Engineers Inc., pp. 42-45, 3rd International Conference on Orange Technologies, ICOT 2015, Hong Kong, Hong Kong, 15-12-19. https://doi.org/10.1109/ICOT.2015.7498502

Data collection of elicited facial expressions and speech responses for mood disorder detection. / Huang, Kun Yi; Wu, Chung Hsien; Kuo, Yu Ting; Yen, Hsiao Hsuan; Jang, Fong Lin; Chiu, Yu Hsien.

Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 42-45 7498502 (Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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Huang KY, Wu CH, Kuo YT, Yen HH, Jang FL, Chiu YH. Data collection of elicited facial expressions and speech responses for mood disorder detection. In Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 42-45. 7498502. (Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015). https://doi.org/10.1109/ICOT.2015.7498502