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BIRAFFE2, a multimodal dataset for emotion-based personalization in rich affective game environments
Generic emotion prediction models based on physiological data developed in the field of affective computing apparently are not robust enough. To improve their effectiveness, one needs to personalize them to specific individuals and incorporate broader contextual information. To address the lack of r...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174280/ https://www.ncbi.nlm.nih.gov/pubmed/35672378 http://dx.doi.org/10.1038/s41597-022-01402-6 |