A dataset of continuous affect annotations and physiological signals for emotion analysis

From a computational viewpoint, emotions continue to be intriguingly hard to understand. In research, a direct and real-time inspection in realistic settings is not possible. Discrete, indirect, post-hoc recordings are therefore the norm. As a result, proper emotion assessment remains a problematic...

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Detalles Bibliográficos
Autores principales: Sharma, Karan, Castellini, Claudio, van den Broek, Egon L., Albu-Schaeffer, Alin, Schwenker, Friedhelm
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6785543/
https://www.ncbi.nlm.nih.gov/pubmed/31597919
http://dx.doi.org/10.1038/s41597-019-0209-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6785543/
https://www.ncbi.nlm.nih.gov/pubmed/31597919
http://dx.doi.org/10.1038/s41597-019-0209-0

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