Improving EEG-Based Emotion Classification Using Conditional Transfer Learning

To overcome the individual differences, an accurate electroencephalogram (EEG)-based emotion-classification system requires a considerable amount of ecological calibration data for each individual, which is labor-intensive and time-consuming. Transfer learning (TL) has drawn increasing attention in...

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Detalles Bibliográficos
Autores principales: Lin, Yuan-Pin, Jung, Tzyy-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486154/
https://www.ncbi.nlm.nih.gov/pubmed/28701938
http://dx.doi.org/10.3389/fnhum.2017.00334

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486154/
https://www.ncbi.nlm.nih.gov/pubmed/28701938
http://dx.doi.org/10.3389/fnhum.2017.00334

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