Improving EEG-Based Emotion Classification Using Conditional Transfer Learning

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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Bibliographic Details
Main Authors: Yuan-Pin Lin, Tzyy-Ping Jung
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-06-01
Series:Frontiers in Human Neuroscience
Subjects:
EEG
classification
emotion
music
individual difference
transfer learning
Online Access:http://journal.frontiersin.org/article/10.3389/fnhum.2017.00334/full

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