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IJCNN
2006
IEEE

Recognizing Human Emotion from Partial Facial Features

9 years 8 months ago
Recognizing Human Emotion from Partial Facial Features
—Recognizing human emotions from partial facial features is quite hard to achieve reasonable accuracy. In this paper, we propose to use a tree structure representation to simulate as human perceiving the real human face and both the entities and relationship could contribute to the facial expression features. Moreover, a new structural connectionist architecture based on a probabilistic approach to adaptive processing of data structures is presented to generalize the FacE Emotion Tree Structures (FEETS). We demonstrated the robustness of our proposed system in recognizing the correct emotion based on partial face features. The system yields an accuracy of about 90% for subjects with partial face covered by artifacts.
Jia-Jun Wong, Siu-Yeung Cho
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where IJCNN
Authors Jia-Jun Wong, Siu-Yeung Cho
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