Emotion Recognition From Facial Expressions and Its Control Using Fuzzy Logic
Emotion Recognition From Facial Expressions and Its Control Using Fuzzy Logic
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DOI：
10.1109/tsmca.2009.2014645
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发表时间：
2009-07-01
影响因子：
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通讯作者：
Chatterjee, Amita
中科院分区：
文献类型：
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作者：
Chakraborty, Aruna;Konar, Amit;Chatterjee, Amita
本文提出了一种模糊关系的方法来识别人类的面部表情及其控制。该方案使用外部刺激来激发人类受试者的特定情绪，通过将各个帧分割和定位到感兴趣区域来分析其面部表情。选定的面部特征，如眼睛张开，嘴巴张开，和眉毛收缩的长度从本地化区域中提取，模糊化，并映射到情感空间，采用Mamdani型关系模型。还提出了系统参数的验证方案。本文还提供了一个模糊的计划，用于控制过渡的情绪动态向一个理想的状态。实验结果和计算机仿真表明，该方法简单、鲁棒，具有较好的准确性。
This paper presents a fuzzy relational approach to human emotion recognition from facial expressions and its control. The proposed scheme uses external stimulus to excite specific emotions in human subjects whose facial expressions are analyzed by segmenting and localizing the individual frames into regions of interest. Selected facial features such as eye opening, mouth opening, and the length of eyebrow constriction are extracted from the localized regions, fuzzified, and mapped onto an emotion space by employing Mamdani-type relational models. A scheme for the validation of the system parameters is also presented. This paper also provides a fuzzy scheme for controlling the transition of emotion dynamics toward a desired state. Experimental results and computer simulations indicate that the proposed scheme for emotion recognition and control is simple and robust, with good accuracy.