| Item type |
文献 / Documents(1) |
| 公開日 |
2023-03-20 |
| アクセス権 |
|
|
アクセス権 |
open access |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版社版DOI |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.3390/healthcare10122363 |
|
|
言語 |
ja |
|
|
関連名称 |
10.3390/healthcare10122363 |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| タイトル |
|
|
タイトル |
Comparison of Subjective Facial Emotion Recognition and “Facial Emotion Recognition Based on Multi-Task Cascaded Convolutional Network Face Detection” between Patients with Schizophrenia and Healthy Participants |
|
言語 |
en |
| 著者 |
アキヤマ, トシヤ
松本, 和幸
大坂, 京子
タニオカ, リュウイチ
Betriana, Feni
Zhao, Yueren
カイ, ヨシヒロ
宮川, 操
安原, 由子
飯藤, 大和
Soriano, Gil
谷岡, 哲也
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
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. |
|
言語 |
en |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
facial emotion recognition |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
human–robot interaction |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
multi-task cascaded convolutional networks |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
reliability |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
patients with schizophrenia |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
healthy participants |
| 書誌情報 |
en : Healthcare
巻 10,
号 12,
p. 2363,
発行日 2022-11-24
|
| 収録物ID |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
22279032 |
| 出版者 |
|
|
出版者 |
MDPI |
|
言語 |
en |
| 権利情報 |
|
|
言語 |
en |
|
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/). |
| EID |
|
|
識別子 |
393850 |
|
識別子タイプ |
URI |
| 言語 |
|
|
言語 |
eng |
healthcare_10_12_2363.pdf (1.28 MB)
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