Multi-Source Co-adaptation for EEG-Based Emotion Recognition by Mining Correlation Information

Since each individual subject may present completely different encephalogram (EEG) patterns with respect to other subjects, existing subject-independent emotion classifiers trained on data sampled from cross-subjects or cross-dataset generally fail to achieve sound accuracy. In this scenario, the do...

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Detalles Bibliográficos
Autores principales: Tao, Jianwen, Dan, Yufang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155359/
https://www.ncbi.nlm.nih.gov/pubmed/34054422
http://dx.doi.org/10.3389/fnins.2021.677106

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155359/
https://www.ncbi.nlm.nih.gov/pubmed/34054422
http://dx.doi.org/10.3389/fnins.2021.677106

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