Research on Adaptive Learning Mechanism of the Facial Expression Feature Space

在这项研究中，我们提出了一个具有额外学习能力的面部表情识别模型，并结合了模糊艺术。为了证明它有多有用，我们进行了一些基本的实验来评估快乐的表情和没有面部表情。结果表明，利用所提出的方法所创建的面部表情特征空间在保持原有知识不变的情况下，能够捕获额外的知识。结果表明，该方法可用于具有沿时间轴鲁棒性的自适应面部表情识别模型。

In this research, we proposed a facial expression recognition model with the capability of additional learning with the Fuzzy ART incorporated as well. To demonstrate how useful it can be, we conducted some basic experiments for evaluation purposes with both joyful expressions and no facial expressions examined. Results show clearly that the facial expression feature space that we created using the method we proposed was capable of capturing additional knowledge while it maintained the existing knowledge as it was without alteration. The results we obtained demonstrate that the proposed method can be useful for an adaptive facial expression recognition model that has a robustness feature along the time axis.