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Prediction of state anxiety by machine learning applied to photoplethysmography data
BACKGROUND: As the human behavior is influenced by both cognition and emotion, affective computing plays a central role in human-machine interaction. Algorithms for emotions recognition are usually based on behavioral analysis or on physiological measurements (e.g., heart rate, blood pressure). Amon...
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| Publicat a: | PeerJ |
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| Autors principals: | , , , , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
PeerJ Inc.
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7812926/ https://ncbi.nlm.nih.gov/pubmed/33520434 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.10448 |
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