1. Facial Expression Recognition
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Facial Expression Recognition
Liulin

2. Facial expression is one of the most important and representative basis to differ emotions of human beings.

3. Seven prototypical emotions
The facial action coding system (FACS) proposed by Ekman’s team defines 44 types of AUs. Each AU is related to one or more facial muscles. Then a particular emotion can be described with one or several combinations of AUs.

4. Seven prototypical emotions

5. Seven prototypical emotions

6. Seven prototypical emotions

7. Prospect Traffic Security Education Medical care Medical nursing
Psychical analysis
Prospect
Provide information of students’ learning states to teachers as potential guidance in e-learning
Education
Traffic
Detect fatigue driving, drunk driving…
Security
Search lost children
Lie detection for police

8. Technologies Face detection Feature extraction Classification
Face detection based on various statistical models such as AAM，ASM。
Usually we use existing open source library。
PCA(Principal Components Analysis)
Gabor feature
Optical flow
LBP(Local Binary Patterns)
AAM，ASM ……
SVM(Support Vector Machine)
HMM(Hidden Markov Model)
Adaboost algorithm ……

9. Goal
Develop an application based on ipad to realize facial expression recognition.

10. Thank you !
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