HEDN: A Hard-Easy Dual Network with Source Reliability Assessment for Cross-Subject EEG Emotion Recognition
HEDN:一种具有源可靠性评估的硬易双网络用于跨受体EEG情绪识别
机构 * School of Computer Science and Technology, Xidian University(电子科技大学计算机科学与技术学院)
专题命中 BCI数据与评测 :EEG(title,abstract);brain-computer interface(abstract);分类 cs.LG、cs.HC
AI总结 HEDN通过引入源可靠性评估机制,提出了一种轻量级的多源域适应框架,有效提升跨受体EEG情绪识别的性能与效率。
Comments This work has been submitted to the IEEE for possible publication