Combining Inter-Subject Modeling with a Subject-Based Data Transformation to Improve Affect Recognition from EEG Signals

Existing correlations between features extracted from Electroencephalography (EEG) signals and emotional aspects have motivated the development of a diversity of EEG-based affect detection methods. Both intra-subject and inter-subject approaches have been used in this context. Intra-subject approach...

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Detalles Bibliográficos
Autores principales: Arevalillo-Herráez, Miguel, Cobos, Maximo, Roger, Sandra, García-Pineda, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651152/
https://www.ncbi.nlm.nih.gov/pubmed/31288378
http://dx.doi.org/10.3390/s19132999

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651152/
https://www.ncbi.nlm.nih.gov/pubmed/31288378
http://dx.doi.org/10.3390/s19132999

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