EEG-fNIRS 跨被试连续情绪回归研究

1. 12:00
   arXiv · Artificial Intelligence

   EEG-fNIRS 跨被试连续情绪回归的共享与个体结构建模

   研究在同步 EEG-fNIRS 数据集上做零样本跨被试连续效价-唤醒估计，为未见标签被试预测 [1, 255] 原始尺度轨迹。模型把情绪轨迹分解为跨被试共享结构与由 alpha 频段跨通道同步性估计的个体结构，在留出被试上取得总体 MAE 25.96 / 22.80，低于 EEGNet 与 ASAC-Net 基线的 60.6 / 55.0。

Current heat 7·Comparable peak 10（Oct 5）·Comparable change over 24 hours –

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