@inproceedings{6eb1d48170714b6cb4ae98ffb2d8b5d3,
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",
month = jun,
day = "22",
doi = "10.1109/ICOT.2015.7498502",
language = "English",
series = "Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "42--45",
booktitle = "Proceedings of 2015 International Conference on Orange Technologies, ICOT 2015",
address = "United States",
note = "3rd International Conference on Orange Technologies, ICOT 2015 ; Conference date: 19-12-2015 Through 22-12-2015",
}