ID | 118009 |
著者 |
Akiyama, Toshiya
Tokushima University
Tanioka, Ryuichi
Hiroshima Cosmopolitan University
Betriana, Feni
Rozzano Locsin Institute
Zhao, Yueren
Fujita Health University
Kai, Yoshihiro
Tokai University
宮川, 操
Tokushima Bunri University
Soriano, Gil
National University Philippines
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キーワード | facial emotion recognition
human–robot interaction
multi-task cascaded convolutional networks
reliability
patients with schizophrenia
healthy participants
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資料タイプ |
学術雑誌論文
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抄録 | Patients with schizophrenia may exhibit a flat affect and poor facial expressions. This study aimed to compare subjective facial emotion recognition (FER) and FER based on multi-task cascaded convolutional network (MTCNN) face detection in 31 patients with schizophrenia (patient group) and 40 healthy participants (healthy participant group). A Pepper Robot was used to converse with the 71 aforementioned participants; these conversations were recorded on video. Subjective FER (assigned by medical experts based on video recordings) and FER based on MTCNN face detection was used to understand facial expressions during conversations. This study confirmed the discriminant accuracy of the FER based on MTCNN face detection. The analysis of the smiles of healthy participants revealed that the kappa coefficients of subjective FER (by six examiners) and FER based on MTCNN face detection concurred (κ = 0.63). The perfect agreement rate between the subjective FER (by three medical experts) and FER based on MTCNN face detection in the patient, and healthy participant groups were analyzed using Fisher’s exact probability test where no significant difference was observed (p = 0.72). The validity and reliability were assessed by comparing the subjective FER and FER based on MTCNN face detection. The reliability coefficient of FER based on MTCNN face detection was low for both the patient and healthy participant groups.
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掲載誌名 |
Healthcare
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ISSN | 22279032
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出版者 | MDPI
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巻 | 10
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号 | 12
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開始ページ | 2363
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発行日 | 2022-11-24
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権利情報 | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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出版社版DOI | |
出版社版URL | |
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言語 |
eng
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著者版フラグ |
出版社版
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部局 |
理工学系
医学系
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