Classification accuracy (in %) obtained for the UvA-NEMO database using AU-wise features extracted from individual AUs.

The features were extracted from each smile phase (onset, apex and offset), as well as from the whole sequence. The “combined” column shows the scores obtained using an ensemble of four AU-wise SVM classifiers (as shown in Fig 4). The darker the background, the higher the accuracy is.特征提取自微笑的起始、峰值与消退三个阶段，以及完整的微笑序列。"combined"列展示了使用4个针对动作单元（AU, Action Unit）的支持向量机（Support Vector Machine, SVM）分类器集成得到的评分，如图4所示。背景颜色越深，准确率越高。