摘要
Developing evidence-based parameters to enhance the reliability of face emotion recognition (FER) systems in detecting depression among the elderly is essential. This study aims to elucidate the relationship between the ratio of each emotion valence captured by the FER system and heart rate variability (HRV) while participants watch a video in relation to their depression scores. YOLO, an open-source data analysis toolkit, was used to extract three facial emotion valence features (neutral, positive, and negative) and determine the ratio of each emotion valence over time during video viewing. Additionally, HRV was assessed, and the Geriatric Depression Scale was administered to understand the correlation between FER parameters and depression scores.
原文 | 英語 |
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主出版物標題 | Health. Innovation. Community |
主出版物子標題 | It Starts With Us - Papers from the 28th Australian Digital Health and Health Informatics Conference, HIC 2024 |
編輯 | Jen Bichel-Findlay |
發行者 | IOS Press BV |
頁面 | 194-195 |
頁數 | 2 |
卷 | 318 |
ISBN(電子) | 9781643685410 |
DOIs | |
出版狀態 | 已出版 - 24 09 2024 |
事件 | 28th Australian Digital Health and Health Informatics Conference, HIC 2024 - Brisbane, 澳大利亞 持續時間: 05 08 2024 → 07 08 2024 |
出版系列
名字 | Studies in health technology and informatics |
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ISSN(列印) | 0926-9630 |
Conference
Conference | 28th Australian Digital Health and Health Informatics Conference, HIC 2024 |
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國家/地區 | 澳大利亞 |
城市 | Brisbane |
期間 | 05/08/24 → 07/08/24 |
文獻附註
Publisher Copyright:© 2024 The Authors.