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Authors: Masakazu Higuchi 1 ; Shuji Shinohara 1 ; Mitsuteru Nakamura 1 ; Yasuhiro Omiya 2 ; Naoki Hagiwara 2 ; Shunji Mitsuyoshi 1 and Shinichi Tokuno 1

Affiliations: 1 The University of Tokyo, Japan ; 2 PST and Inc., Japan

Keyword(s): Voice, Emotion recognition, Depression, BDI

Abstract: Depression is important issue with aging of global population. Previously we have proposed a method to evaluate the mental health status of a person by his or her voice and developed a smartphone-based system to monitor mental health from voice during a call. Although the system has excellent continuous monitoring capability, it has not enough specificity for screening. Therefore, in this study we propose an evaluation indicator to assess depression status in the elderly, based on multivariate analysis using the emotional components of the voice data collected in the aforementioned system and the BDI score. The voice emotion data on subjects was divided into two groups according to BDI score, one where doctor's diagnosis was deemed necessary and the other not so. A significant difference between the two groups was observed in t-test when the mean of the evaluation indicator estimated using data of each group and applying logistic regression prediction equation was compared. Moreover, a performance corresponding to AUC of approximately 0.75 was achieved in the ROC curve of the derived evaluation indicator. The results suggest that a new method to evaluate depression using voice has likely been developed. (More)

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Paper citation in several formats:
Higuchi, M.; Shinohara, S.; Nakamura, M.; Omiya, Y.; Hagiwara, N.; Mitsuyoshi, S. and Tokuno, S. (2017). Study on Depression Evaluation Indicator in the Elderly using Sensibility Technology. In Proceedings of the 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE; ISBN 978-989-758-251-6; ISSN 2184-4984, SciTePress, pages 70-77. DOI: 10.5220/0006316700700077

@conference{ict4awe17,
author={Masakazu Higuchi. and Shuji Shinohara. and Mitsuteru Nakamura. and Yasuhiro Omiya. and Naoki Hagiwara. and Shunji Mitsuyoshi. and Shinichi Tokuno.},
title={Study on Depression Evaluation Indicator in the Elderly using Sensibility Technology},
booktitle={Proceedings of the 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE},
year={2017},
pages={70-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006316700700077},
isbn={978-989-758-251-6},
issn={2184-4984},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE
TI - Study on Depression Evaluation Indicator in the Elderly using Sensibility Technology
SN - 978-989-758-251-6
IS - 2184-4984
AU - Higuchi, M.
AU - Shinohara, S.
AU - Nakamura, M.
AU - Omiya, Y.
AU - Hagiwara, N.
AU - Mitsuyoshi, S.
AU - Tokuno, S.
PY - 2017
SP - 70
EP - 77
DO - 10.5220/0006316700700077
PB - SciTePress

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