Robust Latent Multi-Source Adaptation for Encephalogram-Based Emotion Recognition

Robust Latent Multi-Source Adaptation for Encephalogram-Based Emotion Recognition

In practical encephalogram (EEG)-based machine learning, different subjects can be represented by many different EEG patterns, which would, in some extent, degrade the performance of extant subject-independent classifiers obtained from cross-subjects datasets. To this end, in this paper, we present...

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Bibliographic Details
Main Authors: Jianwen Tao, Yufang Dan, Di Zhou, Songsong He
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Neuroscience
Subjects:
encephalogram
latent space
emotion recognition
co-adaptation
maximum mean discrepancy
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.850906/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.850906/full

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