Recognizing human emotional states by facial expression analysis for humanoid head AMIR-III
In this paper, we reviewed the existing established methods of facial expression analysis and their limitations in applications. Then we proposed a system for our own robot head AMIR-III. The research used Eigenface method utilizing Principal Component Analysis and Neural Network classifier for...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/23435/1/2011_ICOM2011_Recognizing_Human_Emotional_States.pdf http://irep.iium.edu.my/23435/ |
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| Summary: | In this paper, we reviewed the existing established
methods of facial expression analysis and their limitations in
applications. Then we proposed a system for our own robot head
AMIR-III. The research used Eigenface method utilizing
Principal Component Analysis and Neural Network classifier for
emotion recognition from static image frame taken from live
video. |
|---|