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Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study
BACKGROUND: Emotional state in everyday life is an essential indicator of health and well-being. However, daily assessment of emotional states largely depends on active self-reports, which are often inconvenient and prone to incomplete information. Automated detection of emotional states and transit...
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| Опубликовано в: : | JMIR Mhealth Uhealth |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
JMIR Publications
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7584158/ https://ncbi.nlm.nih.gov/pubmed/32990638 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/17818 |
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