K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations

Recognizing emotions during social interactions has many potential applications with the popularization of low-cost mobile sensors, but a challenge remains with the lack of naturalistic affective interaction data. Most existing emotion datasets do not support studying idiosyncratic emotions arising...

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Detalles Bibliográficos
Autores principales: Park, Cheul Young, Cha, Narae, Kang, Soowon, Kim, Auk, Khandoker, Ahsan Habib, Hadjileontiadis, Leontios, Oh, Alice, Jeong, Yong, Lee, Uichin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479607/
https://www.ncbi.nlm.nih.gov/pubmed/32901038
http://dx.doi.org/10.1038/s41597-020-00630-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479607/
https://www.ncbi.nlm.nih.gov/pubmed/32901038
http://dx.doi.org/10.1038/s41597-020-00630-y

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