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Predicting affective appraisals from facial expressions and physiology using machine learning
The present study explored the interrelations between a broad set of appraisal ratings and five physiological signals, including facial EMG, electrodermal activity, and heart rate variability, that were assessed in 157 participants watching 10 emotionally charged videos. A total of 134 features were...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062398/ https://www.ncbi.nlm.nih.gov/pubmed/32761313 http://dx.doi.org/10.3758/s13428-020-01435-y |